[求助]OpenCV:識別四邊形的四個角點問題,待解決
阿新 • • 發佈:2019-02-17
矩形原影象見最下面。
思路是,採用L1、L2、L3和L4四條線,按照如圖所示方向依次掃過圖形,遇到角點停止,返回座標。
(該方法只對部分規則的四邊形適用)
問題是A和B點的識別程式通不過,請問問大家是怎麼回事,該如何解決?
原始碼如下:
// gangban.cpp : 定義控制檯應用程式的入口點。 // #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 按視窗比例滿視窗顯示; 1 按原比例顯示,和視窗大小無關 // cvShowImage("gbfushi",src); //將src的RGB三個通道分別顯示 測試發現B的畫素差異最大 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); /******** 正式處理部分程式碼 B通道 灰度圖 ***********/ //1 二值化 IplImage* src_gray = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1);//IPL_DEPTH_8U unchar cvThreshold(src_b,src_gray,190,255,CV_THRESH_BINARY); // cvNamedWindow("src_gray",0);cvShowImage("src_gray",src_gray); //2 開運算 IplImage* src_open = cvCreateImage(cvGetSize(src),IPL_DEPTH_8U,1); IplConvKernel* element = 0;//腐蝕結構體變數 element = cvCreateStructuringElementEx(3,3,2,2,CV_SHAPE_RECT,0);//3*3矩形 錨點(2,2 ) cvMorphologyEx(src_gray,src_open,NULL,element,1); cvNamedWindow("src_open",0);cvShowImage("src_open",src_open); //3 邊界提取 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 畫內切矩形 uchar* data;//指向src_open畫素值的指標 data = (uchar*)src_open->imageData; int yy = 0,xx = 0; CvScalar color;//B G R color.val[0] = 0; color.val[1] = 0; color.val[2] = 0; //D 點座標獲取 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 R color.val[1] = 128; color.val[2] = 255; cvCircle(src,pointD,10,color,5,8,0); //yellow xx = 0; yy = 0; //C 點座標獲取 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 R color.val[1] = 0; color.val[2] = 255; cvCircle(src,pointC,10,color,5,8,0); //red xx = 0; yy = 0; //A 點座標獲取 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 R color.val[1] = 0; color.val[2] = 0; cvCircle(src,pointA,20,color,10,8,0); //blue xx = 0; yy = 0; /* //B 點座標獲取 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 R color.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; }
處理所用原影象: