docs/html/meanshift_8h_source.html

 #ifndef MEAN_SHIFT_H

 #define MEAN_SHIFT_H

 #pragma once


 /*meanshift算法实现

 *@File:meanshift.cpp

 *@Author:Kan Chen (chenkan0007@gmail.com),

 *@Last Modified:2013-06-16

 */


 #include <iostream>

 #include "opencv\cv.h"

 #include <math.h>

 #include "opencv\highgui.h"

 #include <windows.h>


 /*

 #ifndef NDEBUG

 #pragma comment(lib, "..\\lib\\opencv_core300d.lib")

 #pragma comment(lib, "..\\lib\\opencv_highgui300d.lib")

 #pragma comment(lib, "..\\lib\\opencv_imgproc300d.lib")

 #else // NDEBUG

 #pragma comment(lib, "..\\OpenCV\\lib\\opencv_core231.lib")

 #pragma comment(lib, "..\\OpenCV\\lib\\opencv_highgui231.lib")

 #pragma comment(lib, "..\\OpenCV\\lib\\opencv_imgproc231.lib")

 #endif

 */


 using namespace std;

 //using namespace cv;


 const int MEAN_SHIFT_R = 2;


 // 将图像数据转换为meanshift算法执行时的数据点IplImage* create_input4meanshift(IplImage* img, int r);

// 对每一个小区域进行meanshift聚类，返回中心处的数据
double meanshift(double* serArr, int p, int length);

// input image should be color image
IplImage* pic_meanshift(IplImage* img, int r);

#endif

 IplImage* create_input4meanshift(IplImage* img, int r);


 // 对每一个小区域进行meanshift聚类，返回中心处的数据double meanshift(double* serArr, int p, int length);

// input image should be color image
IplImage* pic_meanshift(IplImage* img, int r);

#endif

 double meanshift(double* serArr, int p, int length);


 // input image should be color image

 IplImage* pic_meanshift(IplImage* img, int r);


 #endif

std