opencv 金字塔图像分割

我所知的opencv中分割函数：watershed（只是看看效果，不能返回每类pixel类属），cvsegmentImage，cvPyrSegmentation（返回pixel类属）

金字塔分割原理篇在这里，本文只提供代码。

Segment函数：

#include<cv.h>
#include <cvaux.h>
#include <opencvcxcore.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);
}

彩色图分割版本：

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);
}
// from: http://blog.csdn.net/abcjennifer/article/details/18215953