NekoX/TMessagesProj/src/main/java/com/google/zxing/common/detector/MonochromeRectangleDetector.java

/*
 * Copyright 2009 ZXing authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.zxing.common.detector;

import com.google.zxing.NotFoundException;
import com.google.zxing.ResultPoint;
import com.google.zxing.common.BitMatrix;

/**
 * <p>A somewhat generic detector that looks for a barcode-like rectangular region within an image.
 * It looks within a mostly white region of an image for a region of black and white, but mostly
 * black. It returns the four corners of the region, as best it can determine.</p>
 *
 * @author Sean Owen
 * @deprecated without replacement since 3.3.0
 */
@Deprecated
public final class MonochromeRectangleDetector {

  private static final int MAX_MODULES = 32;

  private final BitMatrix image;

  public MonochromeRectangleDetector(BitMatrix image) {
    this.image = image;
  }

  /**
   * <p>Detects a rectangular region of black and white -- mostly black -- with a region of mostly
   * white, in an image.</p>
   *
   * @return {@link ResultPoint}[] describing the corners of the rectangular region. The first and
   *  last points are opposed on the diagonal, as are the second and third. The first point will be
   *  the topmost point and the last, the bottommost. The second point will be leftmost and the
   *  third, the rightmost
   * @throws NotFoundException if no Data Matrix Code can be found
   */
  public ResultPoint[] detect() throws NotFoundException {
    int height = image.getHeight();
    int width = image.getWidth();
    int halfHeight = height / 2;
    int halfWidth = width / 2;
    int deltaY = Math.max(1, height / (MAX_MODULES * 8));
    int deltaX = Math.max(1, width / (MAX_MODULES * 8));

    int top = 0;
    int bottom = height;
    int left = 0;
    int right = width;
    ResultPoint pointA = findCornerFromCenter(halfWidth, 0, left, right,
        halfHeight, -deltaY, top, bottom, halfWidth / 2);
    top = (int) pointA.getY() - 1;
    ResultPoint pointB = findCornerFromCenter(halfWidth, -deltaX, left, right,
        halfHeight, 0, top, bottom, halfHeight / 2);
    left = (int) pointB.getX() - 1;
    ResultPoint pointC = findCornerFromCenter(halfWidth, deltaX, left, right,
        halfHeight, 0, top, bottom, halfHeight / 2);
    right = (int) pointC.getX() + 1;
    ResultPoint pointD = findCornerFromCenter(halfWidth, 0, left, right,
        halfHeight, deltaY, top, bottom, halfWidth / 2);
    bottom = (int) pointD.getY() + 1;

    // Go try to find point A again with better information -- might have been off at first.
    pointA = findCornerFromCenter(halfWidth, 0, left, right,
        halfHeight, -deltaY, top, bottom, halfWidth / 4);

    return new ResultPoint[] { pointA, pointB, pointC, pointD };
  }

  /**
   * Attempts to locate a corner of the barcode by scanning up, down, left or right from a center
   * point which should be within the barcode.
   *
   * @param centerX center's x component (horizontal)
   * @param deltaX same as deltaY but change in x per step instead
   * @param left minimum value of x
   * @param right maximum value of x
   * @param centerY center's y component (vertical)
   * @param deltaY change in y per step. If scanning up this is negative; down, positive;
   *  left or right, 0
   * @param top minimum value of y to search through (meaningless when di == 0)
   * @param bottom maximum value of y
   * @param maxWhiteRun maximum run of white pixels that can still be considered to be within
   *  the barcode
   * @return a {@link ResultPoint} encapsulating the corner that was found
   * @throws NotFoundException if such a point cannot be found
   */
  private ResultPoint findCornerFromCenter(int centerX,
                                           int deltaX,
                                           int left,
                                           int right,
                                           int centerY,
                                           int deltaY,
                                           int top,
                                           int bottom,
                                           int maxWhiteRun) throws NotFoundException {
    int[] lastRange = null;
    for (int y = centerY, x = centerX;
         y < bottom && y >= top && x < right && x >= left;
         y += deltaY, x += deltaX) {
      int[] range;
      if (deltaX == 0) {
        // horizontal slices, up and down
        range = blackWhiteRange(y, maxWhiteRun, left, right, true);
      } else {
        // vertical slices, left and right
        range = blackWhiteRange(x, maxWhiteRun, top, bottom, false);
      }
      if (range == null) {
        if (lastRange == null) {
          throw NotFoundException.getNotFoundInstance();
        }
        // lastRange was found
        if (deltaX == 0) {
          int lastY = y - deltaY;
          if (lastRange[0] < centerX) {
            if (lastRange[1] > centerX) {
              // straddle, choose one or the other based on direction
              return new ResultPoint(lastRange[deltaY > 0 ? 0 : 1], lastY);
            }
            return new ResultPoint(lastRange[0], lastY);
          } else {
            return new ResultPoint(lastRange[1], lastY);
          }
        } else {
          int lastX = x - deltaX;
          if (lastRange[0] < centerY) {
            if (lastRange[1] > centerY) {
              return new ResultPoint(lastX, lastRange[deltaX < 0 ? 0 : 1]);
            }
            return new ResultPoint(lastX, lastRange[0]);
          } else {
            return new ResultPoint(lastX, lastRange[1]);
          }
        }
      }
      lastRange = range;
    }
    throw NotFoundException.getNotFoundInstance();
  }

  /**
   * Computes the start and end of a region of pixels, either horizontally or vertically, that could
   * be part of a Data Matrix barcode.
   *
   * @param fixedDimension if scanning horizontally, this is the row (the fixed vertical location)
   *  where we are scanning. If scanning vertically it's the column, the fixed horizontal location
   * @param maxWhiteRun largest run of white pixels that can still be considered part of the
   *  barcode region
   * @param minDim minimum pixel location, horizontally or vertically, to consider
   * @param maxDim maximum pixel location, horizontally or vertically, to consider
   * @param horizontal if true, we're scanning left-right, instead of up-down
   * @return int[] with start and end of found range, or null if no such range is found
   *  (e.g. only white was found)
   */
  private int[] blackWhiteRange(int fixedDimension, int maxWhiteRun, int minDim, int maxDim, boolean horizontal) {

    int center = (minDim + maxDim) / 2;

    // Scan left/up first
    int start = center;
    while (start >= minDim) {
      if (horizontal ? image.get(start, fixedDimension) : image.get(fixedDimension, start)) {
        start--;
      } else {
        int whiteRunStart = start;
        do {
          start--;
        } while (start >= minDim && !(horizontal ? image.get(start, fixedDimension) :
            image.get(fixedDimension, start)));
        int whiteRunSize = whiteRunStart - start;
        if (start < minDim || whiteRunSize > maxWhiteRun) {
          start = whiteRunStart;
          break;
        }
      }
    }
    start++;

    // Then try right/down
    int end = center;
    while (end < maxDim) {
      if (horizontal ? image.get(end, fixedDimension) : image.get(fixedDimension, end)) {
        end++;
      } else {
        int whiteRunStart = end;
        do {
          end++;
        } while (end < maxDim && !(horizontal ? image.get(end, fixedDimension) :
            image.get(fixedDimension, end)));
        int whiteRunSize = end - whiteRunStart;
        if (end >= maxDim || whiteRunSize > maxWhiteRun) {
          end = whiteRunStart;
          break;
        }
      }
    }
    end--;

    return end > start ? new int[]{start, end} : null;
  }

}