opencv例程之彩色圖像的分割

彩色圖像的分割所用庫函數如下：

//連通域數據結構定義

typedef struct CvConnectedComp
{
    double area;    /* area of the connected component  */
    CvScalar value; /* average color of the connected component */
    CvRect rect;    /* ROI of the component  */
    CvSeq* contour; /* optional component boundary
                      (the contour might have child contours corresponding to the holes)*/
}
CvConnectedComp;

 

//用指定顏色填充一個連接域

void cvFloodFill( CvArr* image, CvPoint seed_point, CvScalar new_val, CvScalar lo_diff=cvScalarAll(0), CvScalar up_diff=cvScalarAll(0), CvConnectedComp* comp=NULL, int flags=4, CvArr* mask=NULL );

函數參考：http://www.opencv.org.cn/index.php/Cv%E5%9B%BE%E5%83%8F%E5%A4%84%E7%90%86

 

精簡的演示代碼如下：

#include<cv.h>
#include<highgui.h>
#include<stdio.h>
#pragma comment(lib,"cv.lib")
#pragma comment(lib,"cxcore.lib")
#pragma comment(lib,"highgui.lib")
#pragma comment(lib,"cvaux.lib")

const char* windowname = "彩色圖像分割demo";//圖像窗口標題
IplImage* image = NULL;//儲存圖像的指針
IplImage* mask = NULL;//儲存掩碼圖像的指針
int lo_diff = 20, up_diff = 20;//上下的偏差

void OnMouse(int event, int x, int y, int flags, void* param)
{
	switch(event)
	{

		case CV_EVENT_LBUTTONDOWN:
		CvPoint center;
		center.x = x;
		center.y = y;
		CvConnectedComp comp; //連通組件對象
		int flags = 4 + (255 << 8) +CV_FLOODFILL_FIXED_RANGE;//填充標誌 更新掩碼圖像
		cvFloodFill(image,center,CV_RGB(255,0,0),cvScalarAll(lo_diff),cvScalarAll(up_diff),&comp,flags,mask);
		printf("連通的像素數:%g\t種子點座標：x=%d\ty=%d\n",comp.area,lo_diff,up_diff);
		break;
	}
}


int main()
{	
	image=cvLoadImage("fruits.jpg",1);
	mask = cvCreateImage(cvSize(image->width+2,image->height+2),IPL_DEPTH_8U,1);
	cvNamedWindow(windowname,1);//創建窗口
	cvNamedWindow("mask",1);//創建Mask窗口
	cvSetMouseCallback(windowname,OnMouse);//設置回調函數
	//創建滑塊條
	cvCreateTrackbar("lo_diff",windowname,&lo_diff,255,NULL);
	cvCreateTrackbar("up_diff",windowname,&up_diff,255,NULL);
	while(true)
	{
		cvShowImage(windowname,image);
		cvShowImage("mask",mask);
		if(cvWaitKey(10)>=0) break;
	}
	cvDestroyWindow(windowname);
	cvReleaseImage(&image);
	cvReleaseImage(&mask);
	return 0;
}