opencv 金字塔影象分割
阿新 • • 發佈:2019-01-10
我所知的opencv中分割函式:watershed(只是看看效果,不能返回每類pixel類屬),cvsegmentImage,cvPyrSegmentation(返回pixel類屬)
金字塔分割原理篇在這裡,本文只提供程式碼。
Segment函式:
#include<cv.h> #include <cvaux.h> #include <opencv\cxcore.hpp> #include <opencv.hpp> #include <nonfree.hpp> #include <core/core.hpp> #include <imgproc/imgproc.hpp> #include <imgproc/imgproc_c.h> #include <vector> #include <map> #include <highgui.h> using namespace std; using namespace cv; void Segment(IplImage* I) { ////////////////////parameters initialization////////////////////// int mode = CV_RETR_LIST; int level = 2, block_size = 1000; CvMemStorage* storage = cvCreateMemStorage(block_size); CvSeq* components; double threshold1 = 100,threshold2 = 50; IplImage *src = cvCreateImage(cvGetSize(I),IPL_DEPTH_8U,1); cvCvtColor(I,src,CV_RGB2GRAY); IplImage* dst = cvCreateImage(cvGetSize(I),IPL_DEPTH_8U,1); src->width = dst->width = (I->width & -(1 << level)); src->height = dst->height = (I->height & -(1 << level)); //////////////////////Segment///////////////////////// cvPyrSegmentation(src,dst,storage,&components,level,threshold1,threshold2); int ncomp = components->total; cout<<"segemented into "<<ncomp<<" components."<<endl; //////////////////////////Get Components///////////////////////////// map<int, int>mapping;//map color value to component id (classify) for (int i = 0; i<ncomp; i++)//foreach connection component { CvConnectedComp* cc = (CvConnectedComp*) cvGetSeqElem(components,i); cvDrawRect(dst,cvPoint(cc->rect.x,cc->rect.y),cvPoint(cc->rect.x+cc->rect.width,cc->rect.y+cc->rect.height),cvScalar(255,255,0)); mapping.insert(pair<int,int>(cc->value.val[0],i)); } cvShowImage("segementation",dst); waitKey(); cvReleaseMemStorage(&storage); }
彩色圖分割版本:
void Segment(IplImage* I) { ////////////////////parameters initialization////////////////////// int mode = CV_RETR_LIST; int level = 2, block_size = 1000; CvMemStorage* storage = cvCreateMemStorage(block_size); CvSeq* components; double threshold1 = 10,threshold2 = 50; IplImage *src = cvCreateImage(cvGetSize(I),IPL_DEPTH_8U,3); src = cvCloneImage(I); IplImage* dst = cvCreateImage(cvGetSize(I),IPL_DEPTH_8U,3); src->width = dst->width = (I->width & -(1 << level)); src->height = dst->height = (I->height & -(1 << level)); //////////////////////Segment///////////////////////// cvPyrSegmentation(src,dst,storage,&components,level,threshold1,threshold2); int ncomp = components->total; cout<<"segemented into "<<ncomp<<" components."<<endl; //////////////////////////Get Components///////////////////////////// map<int, int>mapping;//map color value to component id (classify) for (int i = 0; i<ncomp; i++)//foreach connection component { CvConnectedComp* cc = (CvConnectedComp*) cvGetSeqElem(components,i); cvDrawRect(dst,cvPoint(cc->rect.x,cc->rect.y),cvPoint(cc->rect.x+cc->rect.width,cc->rect.y+cc->rect.height),cvScalar(255,255,0)); mapping.insert(pair<int,int>(cc->value.val[0],i)); } cvShowImage("segementation",dst); waitKey(); cvReleaseMemStorage(&storage); }