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Separated rectangle detection from decoder for reuse
git-svn-id: https://zxing.googlecode.com/svn/trunk@824 59b500cc-1b3d-0410-9834-0bbf25fbcc57
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parent
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commit
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@ -0,0 +1,212 @@
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/*
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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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package com.google.zxing.common.detector;
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import com.google.zxing.MonochromeBitmapSource;
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import com.google.zxing.ReaderException;
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import com.google.zxing.ResultPoint;
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import com.google.zxing.BlackPointEstimationMethod;
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import com.google.zxing.common.BitArray;
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import com.google.zxing.common.GenericResultPoint;
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/**
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* <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 black.
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* It returns the four corners of the region, as best it can determine.</p>
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*
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* @author Sean Owen
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*/
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public final class MonochromeRectangleDetector {
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private static final int MAX_MODULES = 32;
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private final MonochromeBitmapSource image;
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public MonochromeRectangleDetector(MonochromeBitmapSource image) {
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this.image = image;
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}
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/**
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* <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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* @return {@link ResultPoint[]} describing the corners of the rectangular region. The first and last points
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* are opposed on the diagonal, as are the second and third. The first point will be the topmost point and
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* the last, the bottommost. The second point will be leftmost and the third, the rightmost
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* @throws ReaderException if no Data Matrix Code can be found
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*/
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public ResultPoint[] detect() throws ReaderException {
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if (!BlackPointEstimationMethod.TWO_D_SAMPLING.equals(image.getLastEstimationMethod())) {
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image.estimateBlackPoint(BlackPointEstimationMethod.TWO_D_SAMPLING, 0);
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}
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int height = image.getHeight();
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int width = image.getWidth();
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int halfHeight = height >> 1;
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int halfWidth = width >> 1;
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int iSkip = Math.max(1, height / (MAX_MODULES << 3));
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int jSkip = Math.max(1, width / (MAX_MODULES << 3));
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int minI = 0;
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int maxI = height;
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int minJ = 0;
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int maxJ = width;
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ResultPoint pointA = findCornerFromCenter(halfHeight, -iSkip, minI, maxI, halfWidth, 0, minJ, maxJ, halfWidth >> 1);
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minI = (int) pointA.getY() - 1;
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ResultPoint pointB = findCornerFromCenter(halfHeight, 0, minI, maxI, halfWidth, -jSkip, minJ, maxJ, halfHeight >> 1);
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minJ = (int) pointB.getX() - 1;
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ResultPoint pointC = findCornerFromCenter(halfHeight, 0, minI, maxI, halfWidth, jSkip, minJ, maxJ, halfHeight >> 1);
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maxJ = (int) pointC.getX() + 1;
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ResultPoint pointD = findCornerFromCenter(halfHeight, iSkip, minI, maxI, halfWidth, 0, minJ, maxJ, halfWidth >> 1);
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maxI = (int) pointD.getY() + 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(halfHeight, -iSkip, minI, maxI, halfWidth, 0, minJ, maxJ, halfWidth >> 2);
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return new ResultPoint[] { pointA, pointB, pointC, pointD };
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}
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/**
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* 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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* @param centerI center's i componennt (vertical)
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* @param di change in i per step. If scanning up this is negative; down, positive; left or right, 0
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* @param minI minimum value of i to search through (meaningless when di == 0)
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* @param maxI maximum value of i
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* @param centerJ center's j component (horizontal)
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* @param dj same as di but change in j per step instead
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* @param minJ see minI
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* @param maxJ see minJ
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* @param maxWhiteRun maximum run of white pixels that can still be considered to be within
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* the barcode
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* @return a {@link com.google.zxing.ResultPoint} encapsulating the corner that was found
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* @throws com.google.zxing.ReaderException if such a point cannot be found
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*/
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private ResultPoint findCornerFromCenter(int centerI, int di, int minI, int maxI,
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int centerJ, int dj, int minJ, int maxJ,
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int maxWhiteRun) throws ReaderException {
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int[] lastRange = null;
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for (int i = centerI, j = centerJ;
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i < maxI && i >= minI && j < maxJ && j >= minJ;
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i += di, j += dj) {
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int[] range;
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if (dj == 0) {
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// horizontal slices, up and down
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range = blackWhiteRange(i, maxWhiteRun, minJ, maxJ, true);
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} else {
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// vertical slices, left and right
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range = blackWhiteRange(j, maxWhiteRun, minI, maxI, false);
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}
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if (range == null) {
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if (lastRange == null) {
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throw ReaderException.getInstance();
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}
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// lastRange was found
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if (dj == 0) {
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int lastI = i - di;
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if (lastRange[0] < centerJ) {
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if (lastRange[1] > centerJ) {
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// straddle, choose one or the other based on direction
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return new GenericResultPoint(di > 0 ? lastRange[0] : lastRange[1], lastI);
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}
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return new GenericResultPoint(lastRange[0], lastI);
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} else {
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return new GenericResultPoint(lastRange[1], lastI);
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}
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} else {
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int lastJ = j - dj;
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if (lastRange[0] < centerI) {
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if (lastRange[1] > centerI) {
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return new GenericResultPoint(lastJ, dj < 0 ? lastRange[0] : lastRange[1]);
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}
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return new GenericResultPoint(lastJ, lastRange[0]);
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} else {
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return new GenericResultPoint(lastJ, 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.getInstance();
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}
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/**
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* Computes the start and end of a region of pixels, either horizontally or vertically, that could be
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* part of a Data Matrix barcode.
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*
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* @param fixedDimension if scanning horizontally, this is the row (the fixed vertical location) where
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* we are scanning. If scanning vertically it's the colummn, the fixed horizontal location
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* @param maxWhiteRun largest run of white pixels that can still be considered part of the barcode region
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* @param minDim minimum pixel location, horizontally or vertically, to consider
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* @param maxDim maximum pixel location, horizontally or vertically, to consider
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* @param horizontal if true, we're scanning left-right, instead of up-down
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* @return int[] with start and end of found range, or null if no such range is found (e.g. only white was found)
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*/
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private int[] blackWhiteRange(int fixedDimension, int maxWhiteRun, int minDim, int maxDim, boolean horizontal) {
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int center = (minDim + maxDim) / 2;
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BitArray rowOrColumn = horizontal ? image.getBlackRow(fixedDimension, null, 0, image.getWidth())
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: image.getBlackColumn(fixedDimension, null, 0, image.getHeight());
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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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if (rowOrColumn.get(start)) {
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start--;
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} else {
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int whiteRunStart = start;
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do {
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start--;
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} while (start >= minDim && !rowOrColumn.get(start));
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int whiteRunSize = whiteRunStart - start;
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if (start < minDim || whiteRunSize > maxWhiteRun) {
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start = whiteRunStart + 1; // back up
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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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if (rowOrColumn.get(end)) {
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end++;
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} else {
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int whiteRunStart = end;
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do {
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end++;
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} while (end < maxDim && !rowOrColumn.get(end));
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int whiteRunSize = end - whiteRunStart;
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if (end >= maxDim || whiteRunSize > maxWhiteRun) {
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end = whiteRunStart - 1;
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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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if (end > start) {
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return new int[] { start, end };
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} else {
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return null;
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}
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}
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}
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@ -19,14 +19,13 @@ package com.google.zxing.datamatrix.detector;
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import com.google.zxing.MonochromeBitmapSource;
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import com.google.zxing.ReaderException;
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import com.google.zxing.ResultPoint;
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import com.google.zxing.BlackPointEstimationMethod;
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import com.google.zxing.common.BitArray;
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import com.google.zxing.common.BitMatrix;
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import com.google.zxing.common.Collections;
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import com.google.zxing.common.Comparator;
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import com.google.zxing.common.DetectorResult;
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import com.google.zxing.common.GenericResultPoint;
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import com.google.zxing.common.GridSampler;
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import com.google.zxing.common.detector.MonochromeRectangleDetector;
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import java.util.Enumeration;
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import java.util.Hashtable;
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@ -48,9 +47,11 @@ public final class Detector {
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{ new Integer(0), new Integer(1), new Integer(2), new Integer(3), new Integer(4) };
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private final MonochromeBitmapSource image;
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private final MonochromeRectangleDetector rectangleDetector;
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public Detector(MonochromeBitmapSource image) {
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this.image = image;
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rectangleDetector = new MonochromeRectangleDetector(image);
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}
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/**
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@ -61,31 +62,11 @@ public final class Detector {
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*/
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public DetectorResult detect() throws ReaderException {
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if (!BlackPointEstimationMethod.TWO_D_SAMPLING.equals(image.getLastEstimationMethod())) {
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image.estimateBlackPoint(BlackPointEstimationMethod.TWO_D_SAMPLING, 0);
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}
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int height = image.getHeight();
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int width = image.getWidth();
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int halfHeight = height >> 1;
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int halfWidth = width >> 1;
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int iSkip = Math.max(1, height / (MAX_MODULES << 3));
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int jSkip = Math.max(1, width / (MAX_MODULES << 3));
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int minI = 0;
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int maxI = height;
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int minJ = 0;
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int maxJ = width;
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ResultPoint pointA = findCornerFromCenter(halfHeight, -iSkip, minI, maxI, halfWidth, 0, minJ, maxJ, halfWidth >> 1);
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minI = (int) pointA.getY() - 1;
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ResultPoint pointB = findCornerFromCenter(halfHeight, 0, minI, maxI, halfWidth, -jSkip, minJ, maxJ, halfHeight >> 1);
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minJ = (int) pointB.getX() - 1;
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ResultPoint pointC = findCornerFromCenter(halfHeight, 0, minI, maxI, halfWidth, jSkip, minJ, maxJ, halfHeight >> 1);
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maxJ = (int) pointC.getX() + 1;
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ResultPoint pointD = findCornerFromCenter(halfHeight, iSkip, minI, maxI, halfWidth, 0, minJ, maxJ, halfWidth >> 1);
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maxI = (int) pointD.getY() + 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(halfHeight, -iSkip, minI, maxI, halfWidth, 0, minJ, maxJ, halfWidth >> 2);
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ResultPoint[] cornerPoints = rectangleDetector.detect();
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ResultPoint pointA = cornerPoints[0];
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ResultPoint pointB = cornerPoints[1];
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ResultPoint pointC = cornerPoints[2];
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ResultPoint pointD = cornerPoints[3];
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// Point A and D are across the diagonal from one another,
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// as are B and C. Figure out which are the solid black lines
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@ -178,71 +159,6 @@ public final class Detector {
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return new DetectorResult(bits, new ResultPoint[] {pointA, pointB, pointC, pointD});
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}
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/**
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* 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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* @param centerI center's i componennt (vertical)
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* @param di change in i per step. If scanning up this is negative; down, positive; left or right, 0
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* @param minI minimum value of i to search through (meaningless when di == 0)
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* @param maxI maximum value of i
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* @param centerJ center's j component (horizontal)
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* @param dj same as di but change in j per step instead
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* @param minJ see minI
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* @param maxJ see minJ
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* @param maxWhiteRun maximum run of white pixels that can still be considered to be within
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* the barcode
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* @return a {@link ResultPoint} encapsulating the corner that was found
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* @throws ReaderException if such a point cannot be found
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*/
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private ResultPoint findCornerFromCenter(int centerI, int di, int minI, int maxI,
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int centerJ, int dj, int minJ, int maxJ,
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int maxWhiteRun) throws ReaderException {
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int[] lastRange = null;
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for (int i = centerI, j = centerJ;
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i < maxI && i >= minI && j < maxJ && j >= minJ;
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i += di, j += dj) {
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int[] range;
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if (dj == 0) {
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// horizontal slices, up and down
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range = blackWhiteRange(i, maxWhiteRun, minJ, maxJ, true);
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} else {
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// vertical slices, left and right
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range = blackWhiteRange(j, maxWhiteRun, minI, maxI, false);
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}
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if (range == null) {
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if (lastRange == null) {
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throw ReaderException.getInstance();
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}
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// lastRange was found
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if (dj == 0) {
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int lastI = i - di;
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if (lastRange[0] < centerJ) {
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if (lastRange[1] > centerJ) {
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// straddle, choose one or the other based on direction
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return new GenericResultPoint(di > 0 ? lastRange[0] : lastRange[1], lastI);
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}
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return new GenericResultPoint(lastRange[0], lastI);
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} else {
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return new GenericResultPoint(lastRange[1], lastI);
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}
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} else {
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int lastJ = j - dj;
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if (lastRange[0] < centerI) {
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if (lastRange[1] > centerI) {
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return new GenericResultPoint(lastJ, dj < 0 ? lastRange[0] : lastRange[1]);
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}
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return new GenericResultPoint(lastJ, lastRange[0]);
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} else {
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return new GenericResultPoint(lastJ, 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.getInstance();
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}
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/**
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* Increments the Integer associated with a key by one.
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*/
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@ -251,70 +167,6 @@ public final class Detector {
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table.put(key, value == null ? INTEGERS[1] : INTEGERS[value.intValue() + 1]);
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}
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/**
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* Computes the start and end of a region of pixels, either horizontally or vertically, that could be
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* part of a Data Matrix barcode.
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*
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* @param fixedDimension if scanning horizontally, this is the row (the fixed vertical location) where
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* we are scanning. If scanning vertically it's the colummn, the fixed horizontal location
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* @param maxWhiteRun largest run of white pixels that can still be considered part of the barcode region
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* @param minDim minimum pixel location, horizontally or vertically, to consider
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* @param maxDim maximum pixel location, horizontally or vertically, to consider
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* @param horizontal if true, we're scanning left-right, instead of up-down
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* @return int[] with start and end of found range, or null if no such range is found (e.g. only white was found)
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*/
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private int[] blackWhiteRange(int fixedDimension, int maxWhiteRun, int minDim, int maxDim, boolean horizontal) {
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int center = (minDim + maxDim) / 2;
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BitArray rowOrColumn = horizontal ? image.getBlackRow(fixedDimension, null, 0, image.getWidth())
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: image.getBlackColumn(fixedDimension, null, 0, image.getHeight());
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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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if (rowOrColumn.get(start)) {
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start--;
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} else {
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int whiteRunStart = start;
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do {
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start--;
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} while (start >= minDim && !rowOrColumn.get(start));
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int whiteRunSize = whiteRunStart - start;
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if (start < minDim || whiteRunSize > maxWhiteRun) {
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start = whiteRunStart + 1; // back up
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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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if (rowOrColumn.get(end)) {
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end++;
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} else {
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int whiteRunStart = end;
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do {
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end++;
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} while (end < maxDim && !rowOrColumn.get(end));
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int whiteRunSize = end - whiteRunStart;
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if (end >= maxDim || whiteRunSize > maxWhiteRun) {
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end = whiteRunStart - 1;
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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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if (end > start) {
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return new int[] { start, end };
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} else {
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return null;
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}
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}
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private static BitMatrix sampleGrid(MonochromeBitmapSource image,
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ResultPoint topLeft,
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ResultPoint bottomLeft,
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@ -33,6 +33,7 @@ import java.io.IOException;
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import java.io.OutputStreamWriter;
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import java.io.Writer;
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import java.net.URI;
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import java.net.URISyntaxException;
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import java.nio.charset.Charset;
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import java.util.Hashtable;
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@ -72,7 +73,7 @@ public final class CommandLineRunner {
|
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}
|
||||
|
||||
private static void decodeOneArgument(String argument, Hashtable<DecodeHintType, Object> hints,
|
||||
boolean dumpResults) throws Exception {
|
||||
boolean dumpResults) throws IOException, URISyntaxException {
|
||||
|
||||
File inputFile = new File(argument);
|
||||
if (inputFile.exists()) {
|
||||
|
|
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Reference in a new issue