opencv提取图像的缺陷并用最小矩形框出来

本文主要是介绍opencv提取图像的缺陷并用最小矩形框出来，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

看代码：

	IplImage *g = cvLoadImage("C:\\Users\\Administrator\\Desktop\\21.jpg");IplImage* src = cvCreateImage(cvGetSize(g), IPL_DEPTH_8U, 1);//转化为单通道黑白照片CvScalar pixel1;double temp;for (int i = 0; i < g->height - 1; ++i){for (int j = 0; j < g->width - 1; ++j){pixel1 = cvGet2D(g, i, j);temp = 0.11*pixel1.val[0] + 0.59*pixel1.val[1] + 0.30*pixel1.val[2];cvSet2D(src, i, j, temp);}}CvMemStorage* storage = cvCreateMemStorage(0);CvSeq* contour = 0;cvNamedWindow("image0", 1);cvShowImage("image0", src);int   hei = src->height;int   wid = src->width;uchar *data = (uchar*)src->imageData;int widstep = src->widthStep;int channel = src->nChannels;IplImage *dst = cvCreateImage(cvSize(wid, hei), IPL_DEPTH_8U, 3);// invert the image  for (int i = 0; i<hei; i++){for (int j = 0; j<wid; j++){if (data[i*widstep + j*channel]>160){data[i*widstep + j*channel] = 255;}else{data[i*widstep + j*channel] = 0;}}}cvNamedWindow("image", 0);cvShowImage("image", src);printf("图像的高为：%d,宽为：%d\n\n", hei, wid);cvCvtColor(src, dst, CV_GRAY2BGR);cvFindContours(src, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);for (; contour != 0; contour = contour->h_next){CvBox2D rect = cvMinAreaRect2(contour, storage);double area = rect.size.height* rect.size.width;if (area < 1000)continue;CvPoint2D32f rect_pts0[4];cvBoxPoints(rect, rect_pts0);int npts = 4, k = 0;int aaa = 0, bbb = 0;CvPoint rect_pts[4], *pt = rect_pts;printf("连通区域最小外接矩形顶点坐标分别为:\n");for (int i = 0; i<4; i++){rect_pts[i] = cvPointFrom32f(rect_pts0[i]);printf("%d %d\n", rect_pts[i].x, rect_pts[i].y);aaa = (int)sqrt((pow((rect_pts[0].x - rect_pts[1].x), 2) + pow((rect_pts[0].y- rect_pts[1].y), 2)));bbb = (int)sqrt((pow((rect_pts[0].x - rect_pts[3].x), 2) + pow((rect_pts[0].y - rect_pts[3].y), 2)));if (aaa<bbb){k = aaa;aaa = bbb;bbb = k;}}printf("最小外接矩形的长为：%d宽为：%d。\n\n", aaa, bbb);cvPolyLine(g, &pt, &npts, 1, 1, CV_RGB(255, 0, 0), 1);}cvNamedWindow("image1", 1);cvShowImage("image1", g);cvNamedWindow("image", 1);cvShowImage("image", src);cvWaitKey(0);cvDestroyWindow("image");cvDestroyWindow("image1");cvReleaseImage(&src);cvReleaseImage(&g);

效果如图：