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git-svn-id: https://zxing.googlecode.com/svn/trunk@2558 59b500cc-1b3d-0410-9834-0bbf25fbcc57
675 lines
21 KiB
C#
Executable file
675 lines
21 KiB
C#
Executable file
using System;
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using System.Collections.Generic;
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/*
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* Copyright 2007 ZXing authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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namespace com.google.zxing.qrcode.detector
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{
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using DecodeHintType = com.google.zxing.DecodeHintType;
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using NotFoundException = com.google.zxing.NotFoundException;
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using ResultPoint = com.google.zxing.ResultPoint;
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using ResultPointCallback = com.google.zxing.ResultPointCallback;
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using BitMatrix = com.google.zxing.common.BitMatrix;
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/// <summary>
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/// <p>This class attempts to find finder patterns in a QR Code. Finder patterns are the square
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/// markers at three corners of a QR Code.</p>
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///
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/// <p>This class is thread-safe but not reentrant. Each thread must allocate its own object.
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///
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/// @author Sean Owen
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/// </summary>
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public class FinderPatternFinder
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{
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private const int CENTER_QUORUM = 2;
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protected internal const int MIN_SKIP = 3; // 1 pixel/module times 3 modules/center
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protected internal const int MAX_MODULES = 57; // support up to version 10 for mobile clients
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private const int INTEGER_MATH_SHIFT = 8;
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private readonly BitMatrix image;
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private readonly List<FinderPattern> possibleCenters;
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private bool hasSkipped;
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private readonly int[] crossCheckStateCount;
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private readonly ResultPointCallback resultPointCallback;
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/// <summary>
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/// <p>Creates a finder that will search the image for three finder patterns.</p>
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/// </summary>
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/// <param name="image"> image to search </param>
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public FinderPatternFinder(BitMatrix image) : this(image, null)
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{
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}
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public FinderPatternFinder(BitMatrix image, ResultPointCallback resultPointCallback)
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{
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this.image = image;
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this.possibleCenters = new List<FinderPattern>();
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this.crossCheckStateCount = new int[5];
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this.resultPointCallback = resultPointCallback;
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}
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protected internal BitMatrix Image
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{
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get
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{
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return image;
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}
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}
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protected internal List<FinderPattern> PossibleCenters
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{
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get
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{
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return possibleCenters;
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}
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}
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//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
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//ORIGINAL LINE: final FinderPatternInfo find(java.util.Map<com.google.zxing.DecodeHintType,?> hints) throws com.google.zxing.NotFoundException
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internal FinderPatternInfo find(IDictionary<DecodeHintType, object> hints)
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{
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bool tryHarder = hints != null && hints.ContainsKey(DecodeHintType.TRY_HARDER);
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int maxI = image.Height;
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int maxJ = image.Width;
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// We are looking for black/white/black/white/black modules in
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// 1:1:3:1:1 ratio; this tracks the number of such modules seen so far
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// Let's assume that the maximum version QR Code we support takes up 1/4 the height of the
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// image, and then account for the center being 3 modules in size. This gives the smallest
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// number of pixels the center could be, so skip this often. When trying harder, look for all
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// QR versions regardless of how dense they are.
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int iSkip = (3 * maxI) / (4 * MAX_MODULES);
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if (iSkip < MIN_SKIP || tryHarder)
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{
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iSkip = MIN_SKIP;
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}
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bool done = false;
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int[] stateCount = new int[5];
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for (int i = iSkip - 1; i < maxI && !done; i += iSkip)
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{
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// Get a row of black/white values
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stateCount[0] = 0;
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stateCount[1] = 0;
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stateCount[2] = 0;
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stateCount[3] = 0;
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stateCount[4] = 0;
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int currentState = 0;
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for (int j = 0; j < maxJ; j++)
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{
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if (image.get(j, i))
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{
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// Black pixel
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if ((currentState & 1) == 1) // Counting white pixels
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{
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currentState++;
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}
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stateCount[currentState]++;
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} // White pixel
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else
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{
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if ((currentState & 1) == 0) // Counting black pixels
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{
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if (currentState == 4) // A winner?
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{
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if (foundPatternCross(stateCount)) // Yes
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{
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bool confirmed = handlePossibleCenter(stateCount, i, j);
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if (confirmed)
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{
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// Start examining every other line. Checking each line turned out to be too
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// expensive and didn't improve performance.
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iSkip = 2;
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if (hasSkipped)
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{
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done = haveMultiplyConfirmedCenters();
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}
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else
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{
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int rowSkip = findRowSkip();
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if (rowSkip > stateCount[2])
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{
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// Skip rows between row of lower confirmed center
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// and top of presumed third confirmed center
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// but back up a bit to get a full chance of detecting
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// it, entire width of center of finder pattern
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// Skip by rowSkip, but back off by stateCount[2] (size of last center
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// of pattern we saw) to be conservative, and also back off by iSkip which
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// is about to be re-added
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i += rowSkip - stateCount[2] - iSkip;
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j = maxJ - 1;
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}
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}
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}
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else
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{
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stateCount[0] = stateCount[2];
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stateCount[1] = stateCount[3];
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stateCount[2] = stateCount[4];
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stateCount[3] = 1;
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stateCount[4] = 0;
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currentState = 3;
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continue;
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}
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// Clear state to start looking again
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currentState = 0;
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stateCount[0] = 0;
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stateCount[1] = 0;
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stateCount[2] = 0;
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stateCount[3] = 0;
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stateCount[4] = 0;
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} // No, shift counts back by two
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else
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{
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stateCount[0] = stateCount[2];
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stateCount[1] = stateCount[3];
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stateCount[2] = stateCount[4];
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stateCount[3] = 1;
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stateCount[4] = 0;
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currentState = 3;
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}
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}
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else
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{
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stateCount[++currentState]++;
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}
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} // Counting white pixels
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else
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{
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stateCount[currentState]++;
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}
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}
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}
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if (foundPatternCross(stateCount))
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{
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bool confirmed = handlePossibleCenter(stateCount, i, maxJ);
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if (confirmed)
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{
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iSkip = stateCount[0];
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if (hasSkipped)
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{
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// Found a third one
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done = haveMultiplyConfirmedCenters();
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}
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}
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}
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}
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FinderPattern[] patternInfo = selectBestPatterns();
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ResultPoint.orderBestPatterns(patternInfo);
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return new FinderPatternInfo(patternInfo);
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}
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/// <summary>
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/// Given a count of black/white/black/white/black pixels just seen and an end position,
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/// figures the location of the center of this run.
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/// </summary>
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private static float centerFromEnd(int[] stateCount, int end)
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{
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return (float)(end - stateCount[4] - stateCount[3]) - stateCount[2] / 2.0f;
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}
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/// <param name="stateCount"> count of black/white/black/white/black pixels just read </param>
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/// <returns> true iff the proportions of the counts is close enough to the 1/1/3/1/1 ratios
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/// used by finder patterns to be considered a match </returns>
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protected internal static bool foundPatternCross(int[] stateCount)
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{
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int totalModuleSize = 0;
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for (int i = 0; i < 5; i++)
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{
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int count = stateCount[i];
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if (count == 0)
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{
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return false;
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}
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totalModuleSize += count;
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}
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if (totalModuleSize < 7)
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{
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return false;
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}
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int moduleSize = (totalModuleSize << INTEGER_MATH_SHIFT) / 7;
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int maxVariance = moduleSize / 2;
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// Allow less than 50% variance from 1-1-3-1-1 proportions
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return Math.Abs(moduleSize - (stateCount[0] << INTEGER_MATH_SHIFT)) < maxVariance && Math.Abs(moduleSize - (stateCount[1] << INTEGER_MATH_SHIFT)) < maxVariance && Math.Abs(3 * moduleSize - (stateCount[2] << INTEGER_MATH_SHIFT)) < 3 * maxVariance && Math.Abs(moduleSize - (stateCount[3] << INTEGER_MATH_SHIFT)) < maxVariance && Math.Abs(moduleSize - (stateCount[4] << INTEGER_MATH_SHIFT)) < maxVariance;
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}
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private int[] CrossCheckStateCount
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{
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get
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{
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crossCheckStateCount[0] = 0;
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crossCheckStateCount[1] = 0;
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crossCheckStateCount[2] = 0;
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crossCheckStateCount[3] = 0;
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crossCheckStateCount[4] = 0;
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return crossCheckStateCount;
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}
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}
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/// <summary>
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/// <p>After a horizontal scan finds a potential finder pattern, this method
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/// "cross-checks" by scanning down vertically through the center of the possible
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/// finder pattern to see if the same proportion is detected.</p>
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/// </summary>
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/// <param name="startI"> row where a finder pattern was detected </param>
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/// <param name="centerJ"> center of the section that appears to cross a finder pattern </param>
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/// <param name="maxCount"> maximum reasonable number of modules that should be
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/// observed in any reading state, based on the results of the horizontal scan </param>
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/// <returns> vertical center of finder pattern, or <seealso cref="Float#NaN"/> if not found </returns>
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private float crossCheckVertical(int startI, int centerJ, int maxCount, int originalStateCountTotal)
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{
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BitMatrix image = this.image;
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int maxI = image.Height;
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int[] stateCount = CrossCheckStateCount;
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// Start counting up from center
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int i = startI;
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while (i >= 0 && image.get(centerJ, i))
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{
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stateCount[2]++;
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i--;
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}
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if (i < 0)
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{
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return float.NaN;
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}
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while (i >= 0 && !image.get(centerJ, i) && stateCount[1] <= maxCount)
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{
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stateCount[1]++;
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i--;
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}
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// If already too many modules in this state or ran off the edge:
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if (i < 0 || stateCount[1] > maxCount)
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{
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return float.NaN;
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}
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while (i >= 0 && image.get(centerJ, i) && stateCount[0] <= maxCount)
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{
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stateCount[0]++;
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i--;
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}
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if (stateCount[0] > maxCount)
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{
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return float.NaN;
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}
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// Now also count down from center
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i = startI + 1;
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while (i < maxI && image.get(centerJ, i))
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{
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stateCount[2]++;
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i++;
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}
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if (i == maxI)
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{
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return float.NaN;
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}
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while (i < maxI && !image.get(centerJ, i) && stateCount[3] < maxCount)
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{
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stateCount[3]++;
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i++;
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}
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if (i == maxI || stateCount[3] >= maxCount)
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{
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return float.NaN;
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}
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while (i < maxI && image.get(centerJ, i) && stateCount[4] < maxCount)
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{
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stateCount[4]++;
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i++;
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}
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if (stateCount[4] >= maxCount)
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{
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return float.NaN;
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}
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// If we found a finder-pattern-like section, but its size is more than 40% different than
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// the original, assume it's a false positive
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int stateCountTotal = stateCount[0] + stateCount[1] + stateCount[2] + stateCount[3] + stateCount[4];
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if (5 * Math.Abs(stateCountTotal - originalStateCountTotal) >= 2 * originalStateCountTotal)
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{
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return float.NaN;
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}
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return foundPatternCross(stateCount) ? centerFromEnd(stateCount, i) : float.NaN;
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}
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/// <summary>
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/// <p>Like <seealso cref="#crossCheckVertical(int, int, int, int)"/>, and in fact is basically identical,
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/// except it reads horizontally instead of vertically. This is used to cross-cross
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/// check a vertical cross check and locate the real center of the alignment pattern.</p>
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/// </summary>
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private float crossCheckHorizontal(int startJ, int centerI, int maxCount, int originalStateCountTotal)
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{
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BitMatrix image = this.image;
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int maxJ = image.Width;
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int[] stateCount = CrossCheckStateCount;
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int j = startJ;
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while (j >= 0 && image.get(j, centerI))
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{
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stateCount[2]++;
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j--;
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}
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if (j < 0)
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{
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return float.NaN;
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}
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while (j >= 0 && !image.get(j, centerI) && stateCount[1] <= maxCount)
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{
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stateCount[1]++;
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j--;
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}
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if (j < 0 || stateCount[1] > maxCount)
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{
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return float.NaN;
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}
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while (j >= 0 && image.get(j, centerI) && stateCount[0] <= maxCount)
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{
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stateCount[0]++;
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j--;
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}
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if (stateCount[0] > maxCount)
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{
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return float.NaN;
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}
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j = startJ + 1;
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while (j < maxJ && image.get(j, centerI))
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{
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stateCount[2]++;
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j++;
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}
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if (j == maxJ)
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{
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return float.NaN;
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}
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while (j < maxJ && !image.get(j, centerI) && stateCount[3] < maxCount)
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{
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stateCount[3]++;
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j++;
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}
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if (j == maxJ || stateCount[3] >= maxCount)
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{
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return float.NaN;
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}
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while (j < maxJ && image.get(j, centerI) && stateCount[4] < maxCount)
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{
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stateCount[4]++;
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j++;
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}
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if (stateCount[4] >= maxCount)
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{
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return float.NaN;
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}
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// If we found a finder-pattern-like section, but its size is significantly different than
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// the original, assume it's a false positive
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int stateCountTotal = stateCount[0] + stateCount[1] + stateCount[2] + stateCount[3] + stateCount[4];
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if (5 * Math.Abs(stateCountTotal - originalStateCountTotal) >= originalStateCountTotal)
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{
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return float.NaN;
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}
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return foundPatternCross(stateCount) ? centerFromEnd(stateCount, j) : float.NaN;
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}
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/// <summary>
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/// <p>This is called when a horizontal scan finds a possible alignment pattern. It will
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/// cross check with a vertical scan, and if successful, will, ah, cross-cross-check
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/// with another horizontal scan. This is needed primarily to locate the real horizontal
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/// center of the pattern in cases of extreme skew.</p>
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///
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/// <p>If that succeeds the finder pattern location is added to a list that tracks
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/// the number of times each location has been nearly-matched as a finder pattern.
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/// Each additional find is more evidence that the location is in fact a finder
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/// pattern center
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/// </summary>
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/// <param name="stateCount"> reading state module counts from horizontal scan </param>
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/// <param name="i"> row where finder pattern may be found </param>
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/// <param name="j"> end of possible finder pattern in row </param>
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/// <returns> true if a finder pattern candidate was found this time </returns>
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protected internal bool handlePossibleCenter(int[] stateCount, int i, int j)
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{
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int stateCountTotal = stateCount[0] + stateCount[1] + stateCount[2] + stateCount[3] + stateCount[4];
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float centerJ = centerFromEnd(stateCount, j);
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float centerI = crossCheckVertical(i, (int) centerJ, stateCount[2], stateCountTotal);
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if (!float.IsNaN(centerI))
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{
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// Re-cross check
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centerJ = crossCheckHorizontal((int) centerJ, (int) centerI, stateCount[2], stateCountTotal);
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if (!float.IsNaN(centerJ))
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{
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float estimatedModuleSize = (float) stateCountTotal / 7.0f;
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bool found = false;
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for (int index = 0; index < possibleCenters.Count; index++)
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{
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FinderPattern center = possibleCenters[index];
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// Look for about the same center and module size:
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if (center.aboutEquals(estimatedModuleSize, centerI, centerJ))
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{
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possibleCenters[index] = center.combineEstimate(centerI, centerJ, estimatedModuleSize);
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found = true;
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break;
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}
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}
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if (!found)
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{
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FinderPattern point = new FinderPattern(centerJ, centerI, estimatedModuleSize);
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possibleCenters.Add(point);
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if (resultPointCallback != null)
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{
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resultPointCallback.foundPossibleResultPoint(point);
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}
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}
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return true;
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}
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}
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return false;
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}
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/// <returns> number of rows we could safely skip during scanning, based on the first
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/// two finder patterns that have been located. In some cases their position will
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/// allow us to infer that the third pattern must lie below a certain point farther
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/// down in the image. </returns>
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private int findRowSkip()
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{
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int max = possibleCenters.Count;
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if (max <= 1)
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{
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return 0;
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}
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FinderPattern firstConfirmedCenter = null;
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foreach (FinderPattern center in possibleCenters)
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{
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if (center.Count >= CENTER_QUORUM)
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{
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if (firstConfirmedCenter == null)
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{
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firstConfirmedCenter = center;
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}
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else
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{
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// We have two confirmed centers
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// How far down can we skip before resuming looking for the next
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// pattern? In the worst case, only the difference between the
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// difference in the x / y coordinates of the two centers.
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// This is the case where you find top left last.
|
|
hasSkipped = true;
|
|
return (int)(Math.Abs(firstConfirmedCenter.X - center.X) - Math.Abs(firstConfirmedCenter.Y - center.Y)) / 2;
|
|
}
|
|
}
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/// <returns> true iff we have found at least 3 finder patterns that have been detected
|
|
/// at least <seealso cref="#CENTER_QUORUM"/> times each, and, the estimated module size of the
|
|
/// candidates is "pretty similar" </returns>
|
|
private bool haveMultiplyConfirmedCenters()
|
|
{
|
|
int confirmedCount = 0;
|
|
float totalModuleSize = 0.0f;
|
|
int max = possibleCenters.Count;
|
|
foreach (FinderPattern pattern in possibleCenters)
|
|
{
|
|
if (pattern.Count >= CENTER_QUORUM)
|
|
{
|
|
confirmedCount++;
|
|
totalModuleSize += pattern.EstimatedModuleSize;
|
|
}
|
|
}
|
|
if (confirmedCount < 3)
|
|
{
|
|
return false;
|
|
}
|
|
// OK, we have at least 3 confirmed centers, but, it's possible that one is a "false positive"
|
|
// and that we need to keep looking. We detect this by asking if the estimated module sizes
|
|
// vary too much. We arbitrarily say that when the total deviation from average exceeds
|
|
// 5% of the total module size estimates, it's too much.
|
|
float average = totalModuleSize / (float) max;
|
|
float totalDeviation = 0.0f;
|
|
foreach (FinderPattern pattern in possibleCenters)
|
|
{
|
|
totalDeviation += Math.Abs(pattern.EstimatedModuleSize - average);
|
|
}
|
|
return totalDeviation <= 0.05f * totalModuleSize;
|
|
}
|
|
|
|
/// <returns> the 3 best <seealso cref="FinderPattern"/>s from our list of candidates. The "best" are
|
|
/// those that have been detected at least <seealso cref="#CENTER_QUORUM"/> times, and whose module
|
|
/// size differs from the average among those patterns the least </returns>
|
|
/// <exception cref="NotFoundException"> if 3 such finder patterns do not exist </exception>
|
|
//JAVA TO C# CONVERTER WARNING: Method 'throws' clauses are not available in .NET:
|
|
//ORIGINAL LINE: private FinderPattern[] selectBestPatterns() throws com.google.zxing.NotFoundException
|
|
private FinderPattern[] selectBestPatterns()
|
|
{
|
|
|
|
int startSize = possibleCenters.Count;
|
|
if (startSize < 3)
|
|
{
|
|
// Couldn't find enough finder patterns
|
|
throw NotFoundException.NotFoundInstance;
|
|
}
|
|
|
|
// Filter outlier possibilities whose module size is too different
|
|
if (startSize > 3)
|
|
{
|
|
// But we can only afford to do so if we have at least 4 possibilities to choose from
|
|
float totalModuleSize = 0.0f;
|
|
float square = 0.0f;
|
|
foreach (FinderPattern center in possibleCenters)
|
|
{
|
|
float size = center.EstimatedModuleSize;
|
|
totalModuleSize += size;
|
|
square += size * size;
|
|
}
|
|
float average = totalModuleSize / (float) startSize;
|
|
float stdDev = (float) Math.Sqrt(square / startSize - average * average);
|
|
|
|
possibleCenters.Sort(new FurthestFromAverageComparator(average));
|
|
|
|
float limit = Math.Max(0.2f * average, stdDev);
|
|
|
|
for (int i = 0; i < possibleCenters.Count && possibleCenters.Count > 3; i++)
|
|
{
|
|
FinderPattern pattern = possibleCenters[i];
|
|
if (Math.Abs(pattern.EstimatedModuleSize - average) > limit)
|
|
{
|
|
possibleCenters.RemoveAt(i);
|
|
i--;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (possibleCenters.Count > 3)
|
|
{
|
|
// Throw away all but those first size candidate points we found.
|
|
|
|
float totalModuleSize = 0.0f;
|
|
foreach (FinderPattern possibleCenter in possibleCenters)
|
|
{
|
|
totalModuleSize += possibleCenter.EstimatedModuleSize;
|
|
}
|
|
|
|
float average = totalModuleSize / (float) possibleCenters.Count;
|
|
|
|
possibleCenters.Sort(new CenterComparator(average));
|
|
|
|
//possibleCenters.subList(3, possibleCenters.Count).clear();
|
|
possibleCenters.RemoveRange(3,possibleCenters.Count-3);
|
|
}
|
|
|
|
return new FinderPattern[]{possibleCenters[0], possibleCenters[1], possibleCenters[2]};
|
|
}
|
|
|
|
/// <summary>
|
|
/// <p>Orders by furthest from average</p>
|
|
/// </summary>
|
|
[Serializable]
|
|
private sealed class FurthestFromAverageComparator : IComparer<FinderPattern>
|
|
{
|
|
private readonly float average;
|
|
internal FurthestFromAverageComparator(float f)
|
|
{
|
|
average = f;
|
|
}
|
|
public int Compare(FinderPattern center1, FinderPattern center2)
|
|
{
|
|
float dA = Math.Abs(center2.EstimatedModuleSize - average);
|
|
float dB = Math.Abs(center1.EstimatedModuleSize - average);
|
|
return dA < dB ? - 1 : dA == dB ? 0 : 1;
|
|
}
|
|
}
|
|
|
|
/// <summary>
|
|
/// <p>Orders by <seealso cref="FinderPattern#getCount()"/>, descending.</p>
|
|
/// </summary>
|
|
[Serializable]
|
|
private sealed class CenterComparator : IComparer<FinderPattern>
|
|
{
|
|
private readonly float average;
|
|
internal CenterComparator(float f)
|
|
{
|
|
average = f;
|
|
}
|
|
public int Compare(FinderPattern center1, FinderPattern center2)
|
|
{
|
|
if (center2.Count == center1.Count)
|
|
{
|
|
float dA = Math.Abs(center2.EstimatedModuleSize - average);
|
|
float dB = Math.Abs(center1.EstimatedModuleSize - average);
|
|
return dA < dB ? 1 : dA == dB ? 0 : -1;
|
|
}
|
|
else
|
|
{
|
|
return center2.Count - center1.Count;
|
|
}
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
} |