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d4efd44fb0
git-svn-id: https://zxing.googlecode.com/svn/trunk@1202 59b500cc-1b3d-0410-9834-0bbf25fbcc57
255 lines
9.6 KiB
C#
Executable file
255 lines
9.6 KiB
C#
Executable file
/*
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* Copyright 2009 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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using System;
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using ReaderException = com.google.zxing.ReaderException;
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using ResultPoint = com.google.zxing.ResultPoint;
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using BitMatrix = com.google.zxing.common.BitMatrix;
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namespace com.google.zxing.common.detector
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{
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/// <summary> <p>A somewhat generic detector that looks for a barcode-like rectangular region within an image.
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/// It looks within a mostly white region of an image for a region of black and white, but mostly
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/// black. It returns the four corners of the region, as best it can determine.</p>
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///
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/// </summary>
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/// <author> Sean Owen
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/// </author>
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/// <author>www.Redivivus.in (suraj.supekar@redivivus.in) - Ported from ZXING Java Source
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/// </author>
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public sealed class MonochromeRectangleDetector
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{
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private const int MAX_MODULES = 32;
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//UPGRADE_NOTE: Final was removed from the declaration of 'image '. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1003'"
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private BitMatrix image;
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public MonochromeRectangleDetector(BitMatrix image)
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{
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this.image = image;
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}
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/// <summary> <p>Detects a rectangular region of black and white -- mostly black -- with a region of mostly
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/// white, in an image.</p>
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///
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/// </summary>
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/// <returns> {@link ResultPoint}[] describing the corners of the rectangular region. The first and
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/// last points are opposed on the diagonal, as are the second and third. The first point will be
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/// the topmost point and the last, the bottommost. The second point will be leftmost and the
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/// third, the rightmost
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/// </returns>
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/// <throws> ReaderException if no Data Matrix Code can be found </throws>
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public ResultPoint[] detect()
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{
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int height = image.Height;
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int width = image.Width;
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int halfHeight = height >> 1;
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int halfWidth = width >> 1;
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int deltaY = System.Math.Max(1, height / (MAX_MODULES << 3));
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int deltaX = System.Math.Max(1, width / (MAX_MODULES << 3));
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int top = 0;
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int bottom = height;
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int left = 0;
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int right = width;
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ResultPoint pointA = findCornerFromCenter(halfWidth, 0, left, right, halfHeight, - deltaY, top, bottom, halfWidth >> 1);
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//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
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top = (int) pointA.Y - 1;
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ResultPoint pointB = findCornerFromCenter(halfWidth, - deltaX, left, right, halfHeight, 0, top, bottom, halfHeight >> 1);
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//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
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left = (int) pointB.X - 1;
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ResultPoint pointC = findCornerFromCenter(halfWidth, deltaX, left, right, halfHeight, 0, top, bottom, halfHeight >> 1);
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//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
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right = (int) pointC.X + 1;
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ResultPoint pointD = findCornerFromCenter(halfWidth, 0, left, right, halfHeight, deltaY, top, bottom, halfWidth >> 1);
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//UPGRADE_WARNING: Data types in Visual C# might be different. Verify the accuracy of narrowing conversions. "ms-help://MS.VSCC.v80/dv_commoner/local/redirect.htm?index='!DefaultContextWindowIndex'&keyword='jlca1042'"
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bottom = (int) pointD.Y + 1;
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// Go try to find point A again with better information -- might have been off at first.
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pointA = findCornerFromCenter(halfWidth, 0, left, right, halfHeight, - deltaY, top, bottom, halfWidth >> 2);
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return new ResultPoint[]{pointA, pointB, pointC, pointD};
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}
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/// <summary> Attempts to locate a corner of the barcode by scanning up, down, left or right from a center
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/// point which should be within the barcode.
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///
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/// </summary>
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/// <param name="centerX">center's x component (horizontal)
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/// </param>
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/// <param name="deltaX">same as deltaY but change in x per step instead
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/// </param>
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/// <param name="left">minimum value of x
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/// </param>
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/// <param name="right">maximum value of x
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/// </param>
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/// <param name="centerY">center's y component (vertical)
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/// </param>
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/// <param name="deltaY">change in y per step. If scanning up this is negative; down, positive;
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/// left or right, 0
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/// </param>
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/// <param name="top">minimum value of y to search through (meaningless when di == 0)
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/// </param>
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/// <param name="bottom">maximum value of y
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/// </param>
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/// <param name="maxWhiteRun">maximum run of white pixels that can still be considered to be within
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/// the barcode
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/// </param>
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/// <returns> a {@link com.google.zxing.ResultPoint} encapsulating the corner that was found
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/// </returns>
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/// <throws> com.google.zxing.ReaderException if such a point cannot be found </throws>
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private ResultPoint findCornerFromCenter(int centerX, int deltaX, int left, int right, int centerY, int deltaY, int top, int bottom, int maxWhiteRun)
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{
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int[] lastRange = null;
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for (int y = centerY, x = centerX; y < bottom && y >= top && x < right && x >= left; y += deltaY, x += deltaX)
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{
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int[] range;
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if (deltaX == 0)
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{
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// horizontal slices, up and down
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range = blackWhiteRange(y, maxWhiteRun, left, right, true);
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}
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else
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{
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// vertical slices, left and right
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range = blackWhiteRange(x, maxWhiteRun, top, bottom, false);
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}
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if (range == null)
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{
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if (lastRange == null)
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{
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throw ReaderException.Instance;
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}
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// lastRange was found
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if (deltaX == 0)
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{
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int lastY = y - deltaY;
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if (lastRange[0] < centerX)
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{
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if (lastRange[1] > centerX)
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{
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// straddle, choose one or the other based on direction
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return new ResultPoint(deltaY > 0?lastRange[0]:lastRange[1], lastY);
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}
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return new ResultPoint(lastRange[0], lastY);
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}
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else
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{
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return new ResultPoint(lastRange[1], lastY);
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}
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}
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else
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{
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int lastX = x - deltaX;
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if (lastRange[0] < centerY)
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{
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if (lastRange[1] > centerY)
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{
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return new ResultPoint(lastX, deltaX < 0?lastRange[0]:lastRange[1]);
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}
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return new ResultPoint(lastX, lastRange[0]);
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}
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else
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{
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return new ResultPoint(lastX, lastRange[1]);
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}
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}
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}
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lastRange = range;
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}
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throw ReaderException.Instance;
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}
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/// <summary> Computes the start and end of a region of pixels, either horizontally or vertically, that could
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/// be part of a Data Matrix barcode.
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///
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/// </summary>
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/// <param name="fixedDimension">if scanning horizontally, this is the row (the fixed vertical location)
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/// where we are scanning. If scanning vertically it's the column, the fixed horizontal location
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/// </param>
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/// <param name="maxWhiteRun">largest run of white pixels that can still be considered part of the
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/// barcode region
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/// </param>
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/// <param name="minDim">minimum pixel location, horizontally or vertically, to consider
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/// </param>
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/// <param name="maxDim">maximum pixel location, horizontally or vertically, to consider
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/// </param>
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/// <param name="horizontal">if true, we're scanning left-right, instead of up-down
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/// </param>
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/// <returns> int[] with start and end of found range, or null if no such range is found
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/// (e.g. only white was found)
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/// </returns>
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private int[] blackWhiteRange(int fixedDimension, int maxWhiteRun, int minDim, int maxDim, bool horizontal)
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{
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int center = (minDim + maxDim) >> 1;
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// Scan left/up first
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int start = center;
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while (start >= minDim)
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{
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if (horizontal?image.get_Renamed(start, fixedDimension):image.get_Renamed(fixedDimension, start))
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{
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start--;
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}
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else
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{
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int whiteRunStart = start;
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do
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{
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start--;
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}
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while (start >= minDim && !(horizontal?image.get_Renamed(start, fixedDimension):image.get_Renamed(fixedDimension, start)));
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int whiteRunSize = whiteRunStart - start;
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if (start < minDim || whiteRunSize > maxWhiteRun)
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{
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start = whiteRunStart;
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break;
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}
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}
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}
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start++;
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// Then try right/down
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int end = center;
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while (end < maxDim)
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{
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if (horizontal?image.get_Renamed(end, fixedDimension):image.get_Renamed(fixedDimension, end))
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{
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end++;
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}
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else
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{
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int whiteRunStart = end;
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do
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{
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end++;
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}
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while (end < maxDim && !(horizontal?image.get_Renamed(end, fixedDimension):image.get_Renamed(fixedDimension, end)));
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int whiteRunSize = end - whiteRunStart;
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if (end >= maxDim || whiteRunSize > maxWhiteRun)
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{
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end = whiteRunStart;
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break;
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}
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}
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}
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end--;
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return end > start?new int[]{start, end}:null;
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}
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}
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} |