[求助]OpenCV：识别四边形的四个角点问题，待解决

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矩形原图像见最下面。

思路是，采用L1、L2、L3和L4四条线，按照如图所示方向依次扫过图形，遇到角点停止，返回坐标。

（该方法只对部分规则的四边形适用）

问题是A和B点的识别程序通不过，请问问大家是怎么回事，该如何解决？

源代码如下：

// gangban.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include <iostream>#include <fstream>#include "highgui.h"#include "cv.h"#include "cxcore.h"int _tmain(int argc, _TCHAR* argv[]){using namespace std;IplImage* src = cvLoadImage("D:\\PERSONAL\\VC++\\OpenCV\\image\\gbfushi.jpg",1);//\\5.jpg//cvNamedWindow("gbfushi",0);// 0 按窗口比例满窗口显示； 1 按原比例显示，和窗口大小无关//cvShowImage("gbfushi",src);//将src的RGB三个通道分别显示  测试发现B的像素差异最大IplImage* src_b = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);IplImage* src_g = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);IplImage* src_r = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);cvSplit(src,src_b,src_g,src_r,NULL);/******** 正式处理部分代码 B通道 灰度图  ***********///1 二值化IplImage* src_gray = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);//IPL_DEPTH_8U   uncharcvThreshold(src_b,src_gray,190,255,CV_THRESH_BINARY);//cvNamedWindow("src_gray",0);cvShowImage("src_gray",src_gray);//2 开运算IplImage* src_open = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);IplConvKernel* element = 0;//腐蚀结构体变量element = cvCreateStructuringElementEx(3,3,2,2,CV_SHAPE_RECT,0);//3*3矩形  锚点（2，2 ）cvMorphologyEx(src_gray,src_open,NULL,element,1);cvNamedWindow("src_open",0);cvShowImage("src_open",src_open);//3 边界提取IplImage* src_canndy = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);cvCanny(src_open,src_canndy,250,255,3);cvNamedWindow("src_canndy",0);cvShowImage("src_canndy",src_canndy);//4 画内切矩形uchar* data;//指向src_open像素值的指针data = (uchar*)src_open->imageData;int yy = 0,xx = 0;CvScalar color;//B G Rcolor.val[0] = 0;color.val[1] = 0;color.val[2] = 0;//D 点坐标获取 for(int b=0 ; b<src_canndy->height && 0 == data[ yy*src_canndy->width + xx]; b++){for(xx=0 ; xx<=b && 0 == data[yy*src_canndy->width + xx];xx++)yy = b - xx;}printf("1 D : xx = %d, yy = %d \n",xx,yy);CvPoint pointD = cvPoint(xx,yy);color.val[0] = 0;//B G Rcolor.val[1] = 128;color.val[2] = 255;cvCircle(src,pointD,10,color,5,8,0); //yellowxx = 0;yy = 0;//C 点坐标获取for( int b = src_canndy->width ; b>=0 && 0 == data[ yy*src_canndy->width + xx]; b-- ){for(xx = src_canndy->width ; xx >= b && 0 == data[ yy*src_canndy->width + xx]; xx--)yy = xx - b;}printf("2 C : xx = %d, yy = %d \n",xx,yy);CvPoint pointC = cvPoint(xx,yy);color.val[0] = 0;//B G Rcolor.val[1] = 0;color.val[2] = 255;cvCircle(src,pointC,10,color,5,8,0); //redxx = 0;yy = 0;//A 点坐标获取for( int b = src_canndy->height ; b>=0 && 0 == data[ yy*src_canndy->width + xx]; b-- ){for( xx = 0 ; xx <= src_canndy->height - b && 0 == data[ yy*src_canndy->width + xx]; xx++)yy = xx + b;}printf("2 A : xx = %d, yy = %d \n",xx,yy);CvPoint pointA = cvPoint(xx,yy);color.val[0] = 255;//B G Rcolor.val[1] = 0;color.val[2] = 0;cvCircle(src,pointA,20,color,10,8,0); //bluexx = 0;yy = 0;/*//B 点坐标获取for( int b = src_canndy->height + src_canndy->width ; b >= src_canndy->height && 0 == data[ yy*src_canndy->width + xx]; b-- ){for(xx = src_canndy->width ; xx >= b - src->height && 0 == data[ yy*src_canndy->width + xx]; xx--)yy = b - xx;}printf("4 B : xx = %d, yy = %d \n",xx,yy);CvPoint pointB = cvPoint(xx,yy);color.val[0] = 0;//B G Rcolor.val[1] = 255;color.val[2] = 0;cvCircle(src,pointB,20,color,10,8,0); //green*/cvNamedWindow("gbfushi",0);cvShowImage("gbfushi",src);printf("src_open->widthStep = %d\n",src_open->widthStep);cvWaitKey(0);cvReleaseImage(&src);cvReleaseImage(&src_b);cvReleaseImage(&src_g);cvReleaseImage(&src_r);cvReleaseImage(&src_gray);cvReleaseImage(&src_open);cvReleaseImage(&src_canndy);cvDestroyAllWindows();return 0;}

处理所用原图像：

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