OpenCV图像内轮廓填-孔洞填充 OpenCV图像内轮廓填-孔洞填充

2019独角兽企业重金招聘Python工程师标准>>>
文章图片

//test #include "stdafx.h" #include "cxcore.h" #include "cv.h" #include "highgui.h"// 内轮廓填充 // 参数: // 1. pBinary: 输入二值图像，单通道，位深IPL_DEPTH_8U。 // 2. dAreaThre: 面积阈值，当内轮廓面积小于等于dAreaThre时，进行填充。 void FillInternalContours(IplImage *pBinary, double dAreaThre) { double dConArea; CvSeq *pContour = NULL; CvSeq *pConInner = NULL; CvMemStorage *pStorage = NULL; // 执行条件 if (pBinary) { // 查找所有轮廓 pStorage = cvCreateMemStorage(0); cvFindContours(pBinary, pStorage, &pContour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE); // 填充所有轮廓 cvDrawContours(pBinary, pContour, CV_RGB(255, 255, 255), CV_RGB(255, 255, 255), 2, CV_FILLED, 8, cvPoint(0, 0)); // 外轮廓循环 int wai = 0; int nei = 0; for (; pContour != NULL; pContour = pContour->h_next) { wai++; // 内轮廓循环 for (pConInner = pContour->v_next; pConInner != NULL; pConInner = pConInner->h_next) { nei++; // 内轮廓面积 dConArea = fabs(cvContourArea(pConInner, CV_WHOLE_SEQ)); printf("%f\n", dConArea); if (dConArea <= dAreaThre) { cvDrawContours(pBinary, pConInner, CV_RGB(255, 255, 255), CV_RGB(255, 255, 255), 0, CV_FILLED, 8, cvPoint(0, 0)); } } } printf("wai = %d, nei = %d", wai, nei); cvReleaseMemStorage(&pStorage); pStorage = NULL; } } int Otsu(IplImage* src) { int height=src->height; int width=src->width; //histogram float histogram[256] = {0}; for(int i=0; i < height; i++) { unsigned char* p=(unsigned char*)src->imageData + src->widthStep * i; for(int j = 0; j < width; j++) { histogram[*p++]++; } } //normalize histogram int size = height * width; for(int i = 0; i < 256; i++) { histogram[i] = histogram[i] / size; } //average pixel value float avgValue=https://www.it610.com/article/0; for(int i=0; i < 256; i++) { avgValue += i * histogram[i]; //整幅图像的平均灰度 } int threshold; float maxVariance=0; float w = 0, u = 0; for(int i = 0; i < 256; i++) { w += histogram[i]; //假设当前灰度i为阈值, 0~i 灰度的像素(假设像素值在此范围的像素叫做前景像素) 所占整幅图像的比例 u += i * histogram[i]; // 灰度i 之前的像素(0~i)的平均灰度值：前景像素的平均灰度值 float t = avgValue * w - u; float variance = t * t / (w * (1 - w) ); if(variance> maxVariance) { maxVariance = variance; threshold = i; } } return threshold; } int main() { IplImage *img = cvLoadImage("c://temp.jpg", 0); IplImage *bin = cvCreateImage(cvGetSize(img), 8, 1); int thresh = Otsu(img); cvThreshold(img, bin, thresh, 255, CV_THRESH_BINARY); FillInternalContours(bin, 200); cvNamedWindow("img"); cvShowImage("img", img); cvNamedWindow("result"); cvShowImage("result", bin); cvWaitKey(-1); cvReleaseImage(&img); cvReleaseImage(&bin); return 0; }

【OpenCV图像内轮廓填-孔洞填充】转载于:https://my.oschina.net/u/1426828/blog/655476