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WhiteRectangleDetector.cpp Example File

appdemos/qtws/QZXing/zxing/zxing/common/detector/WhiteRectangleDetector.cpp
 // -*- mode:c++; tab-width:2; indent-tabs-mode:nil; c-basic-offset:2 -*-
 /*
  *  WhiteRectangleDetector.cpp
  *  y_wmk
  *
  *  Created by Luiz Silva on 09/02/2010.
  *  Copyright 2010 y_wmk authors All rights reserved.
  *
  * 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.
  */

 #include <zxing/NotFoundException.h>
 #include <zxing/common/detector/WhiteRectangleDetector.h>
 #include <zxing/common/detector/MathUtils.h>
 #include <sstream>

 using std::vector;
 using zxing::Ref;
 using zxing::ResultPoint;
 using zxing::WhiteRectangleDetector;
 using zxing::common::detector::MathUtils;

 // VC++
 using zxing::BitMatrix;

 int WhiteRectangleDetector::INIT_SIZE = 10;
 int WhiteRectangleDetector::CORR = 1;

 WhiteRectangleDetector::WhiteRectangleDetector(Ref<BitMatrix> image) :
    WhiteRectangleDetector(image, INIT_SIZE, image->getWidth() >> 1, image->getHeight() >> 1)
 {
 }

 WhiteRectangleDetector::WhiteRectangleDetector(Ref<BitMatrix> image, int initSize, int x, int y) : image_(image) {
   width_ = image->getWidth();
   height_ = image->getHeight();

   int halfsize = initSize >> 1;
   leftInit_ = x - halfsize;
   rightInit_ = x + halfsize;
   upInit_ = y - halfsize;
   downInit_ = y + halfsize;

   if (upInit_ < 0 || leftInit_ < 0 || downInit_ >= height_ || rightInit_ >= width_) {
     throw NotFoundException("Invalid dimensions WhiteRectangleDetector");
   }
 }

 /**
  * <p>
  * Detects a candidate barcode-like rectangular region within an image. It
  * starts around the center of the image, increases the size of the candidate
  * region until it finds a white rectangular region.
  * </p>
  *
  * @return {@link vector<Ref<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
 */
 std::vector<Ref<ResultPoint> > WhiteRectangleDetector::detect() {
   int left = leftInit_;
   int right = rightInit_;
   int up = upInit_;
   int down = downInit_;

   bool sizeExceeded = false;
   bool aBlackPointFoundOnBorder = true;
   bool atLeastOneBlackPointFoundOnBorder = false;

   while (aBlackPointFoundOnBorder) {
     aBlackPointFoundOnBorder = false;

     // .....
     // .   |
     // .....
     bool rightBorderNotWhite = true;
     while (rightBorderNotWhite && right < width_) {
       rightBorderNotWhite = containsBlackPoint(up, down, right, false);
       if (rightBorderNotWhite) {
         right++;
         aBlackPointFoundOnBorder = true;
       }
     }

     if (right >= width_) {
       sizeExceeded = true;
       break;
     }

     // .....
     // .   .
     // .___.
     bool bottomBorderNotWhite = true;
     while (bottomBorderNotWhite && down < height_) {
       bottomBorderNotWhite = containsBlackPoint(left, right, down, true);
       if (bottomBorderNotWhite) {
         down++;
         aBlackPointFoundOnBorder = true;
       }
     }

     if (down >= height_) {
       sizeExceeded = true;
       break;
     }

     // .....
     // |   .
     // .....
     bool leftBorderNotWhite = true;
     while (leftBorderNotWhite && left >= 0) {
       leftBorderNotWhite = containsBlackPoint(up, down, left, false);
       if (leftBorderNotWhite) {
         left--;
         aBlackPointFoundOnBorder = true;
       }
     }

     if (left < 0) {
       sizeExceeded = true;
       break;
     }

     // .___.
     // .   .
     // .....
     bool topBorderNotWhite = true;
     while (topBorderNotWhite && up >= 0) {
       topBorderNotWhite = containsBlackPoint(left, right, up, true);
       if (topBorderNotWhite) {
         up--;
         aBlackPointFoundOnBorder = true;
       }
     }

     if (up < 0) {
       sizeExceeded = true;
       break;
     }

     if (aBlackPointFoundOnBorder) {
       atLeastOneBlackPointFoundOnBorder = true;
     }

   }
   if (!sizeExceeded && atLeastOneBlackPointFoundOnBorder) {

     int maxSize = right - left;

     Ref<ResultPoint> z(NULL);
     //go up right
     for (int i = 1; i < maxSize; i++) {
       z = getBlackPointOnSegment(left, down - i, left + i, down);
       if (z != NULL) {
         break;
       }
     }

     if (z == NULL) {
       throw NotFoundException("z == NULL");
     }

     Ref<ResultPoint> t(NULL);
     //go down right
     for (int i = 1; i < maxSize; i++) {
       t = getBlackPointOnSegment(left, up + i, left + i, up);
       if (t != NULL) {
         break;
       }
     }

     if (t == NULL) {
       throw NotFoundException("t == NULL");
     }

     Ref<ResultPoint> x(NULL);
     //go down left
     for (int i = 1; i < maxSize; i++) {
       x = getBlackPointOnSegment(right, up + i, right - i, up);
       if (x != NULL) {
         break;
       }
     }

     if (x == NULL) {
       throw NotFoundException("x == NULL");
     }

     Ref<ResultPoint> y(NULL);
     //go up left
     for (int i = 1; i < maxSize; i++) {
       y = getBlackPointOnSegment(right, down - i, right - i, down);
       if (y != NULL) {
         break;
       }
     }

     if (y == NULL) {
       throw NotFoundException("y == NULL");
     }

     return centerEdges(y, z, x, t);

   } else {
     throw NotFoundException("No black point found on border");
   }
 }

 Ref<ResultPoint>
 WhiteRectangleDetector::getBlackPointOnSegment(int aX_, int aY_, int bX_, int bY_) {
   float aX = float(aX_), aY = float(aY_), bX = float(bX_), bY = float(bY_);
   int dist = MathUtils::round(MathUtils::distance(aX, aY, bX, bY));
   float xStep = (bX - aX) / dist;
   float yStep = (bY - aY) / dist;

   for (int i = 0; i < dist; i++) {
     int x = MathUtils::round(aX + i * xStep);
     int y = MathUtils::round(aY + i * yStep);
     if (image_->get(x, y)) {
       Ref<ResultPoint> point(new ResultPoint(float(x), float(y)));
       return point;
     }
   }
   Ref<ResultPoint> point(NULL);
   return point;
 }

 /**
  * recenters the points of a constant distance towards the center
  *
  * @param y bottom most point
  * @param z left most point
  * @param x right most point
  * @param t top most point
  * @return {@link vector<Ref<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
  */
 vector<Ref<ResultPoint> > WhiteRectangleDetector::centerEdges(Ref<ResultPoint> y, Ref<ResultPoint> z,
                                   Ref<ResultPoint> x, Ref<ResultPoint> t) {

   //
   //       t            t
   //  z                      x
   //        x    OR    z
   //   y                    y
   //

   float yi = y->getX();
   float yj = y->getY();
   float zi = z->getX();
   float zj = z->getY();
   float xi = x->getX();
   float xj = x->getY();
   float ti = t->getX();
   float tj = t->getY();

   std::vector<Ref<ResultPoint> > corners(4);
   if (yi < (float)width_/2.0f) {
     Ref<ResultPoint> pointA(new ResultPoint(ti - CORR, tj + CORR));
     Ref<ResultPoint> pointB(new ResultPoint(zi + CORR, zj + CORR));
     Ref<ResultPoint> pointC(new ResultPoint(xi - CORR, xj - CORR));
     Ref<ResultPoint> pointD(new ResultPoint(yi + CORR, yj - CORR));
           corners[0].reset(pointA);
           corners[1].reset(pointB);
           corners[2].reset(pointC);
           corners[3].reset(pointD);
   } else {
     Ref<ResultPoint> pointA(new ResultPoint(ti + CORR, tj + CORR));
     Ref<ResultPoint> pointB(new ResultPoint(zi + CORR, zj - CORR));
     Ref<ResultPoint> pointC(new ResultPoint(xi - CORR, xj + CORR));
     Ref<ResultPoint> pointD(new ResultPoint(yi - CORR, yj - CORR));
           corners[0].reset(pointA);
           corners[1].reset(pointB);
           corners[2].reset(pointC);
           corners[3].reset(pointD);
   }
   return corners;
 }

 /**
  * Determines whether a segment contains a black point
  *
  * @param a          min value of the scanned coordinate
  * @param b          max value of the scanned coordinate
  * @param fixed      value of fixed coordinate
  * @param horizontal set to true if scan must be horizontal, false if vertical
  * @return true if a black point has been found, else false.
  */
 bool WhiteRectangleDetector::containsBlackPoint(int a, int b, int fixed, bool horizontal) {
   if (horizontal) {
     for (int x = a; x <= b; x++) {
       if (image_->get(x, fixed)) {
         return true;
       }
     }
   } else {
     for (int y = a; y <= b; y++) {
       if (image_->get(fixed, y)) {
         return true;
       }
     }
   }

   return false;
 }
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