视频关键帧提取

#include <stdio.h>
#include <cv.h>
#include <cxcore.h>
#include <highgui.h>
#include <string>
#include <stdlib.h>
#include <iostream>
using namespace std;

int h_bins = 16, s_bins = 8;
int hist_size[] = {h_bins, s_bins};
float total = 0;
float hist1[128];
float hist2[128];
IplImage* CurrentKeyFrame = NULL;

//创建颜色直方图
void LoadHist(IplImage* frame, float collect[])
{
 IplImage * src= frame; 
 IplImage* hsv = cvCreateImage( cvGetSize(src), 8, 3 );
 IplImage* h_plane = cvCreateImage( cvGetSize(src), 8, 1 );
 IplImage* s_plane = cvCreateImage( cvGetSize(src), 8, 1 );
 IplImage* v_plane = cvCreateImage( cvGetSize(src), 8, 1 );
 IplImage* planes[] = { h_plane, s_plane };

 float h_ranges[] = { 0, 180 }; 
 float s_ranges[] = { 0, 255 };
 float* ranges[] = { h_ranges, s_ranges };

 /** 输入图像转换到HSV颜色空间 */
 cvCvtColor( src, hsv, CV_BGR2HSV );
 cvCvtPixToPlane( hsv, h_plane, s_plane, v_plane, 0 );

 /** 创建直方图，二维, 每个维度上均分 */
 CvHistogram * hist = cvCreateHist( 2, hist_size, CV_HIST_ARRAY, ranges, 1 );

 /** 根据H,S两个平面数据统计直方图 */
 cvCalcHist( planes, hist, 0, 0 );
 int count = 0;
 for(int h = 0; h < h_bins; h++)
 {
  
  for(int s = 0; s < s_bins; s++)
  {
   float bin_val = cvQueryHistValue_2D( hist, h, s );
   collect[count] = bin_val;
   count++;
   //cout<<bin_val<<endl;
  }
  
 }

}
//比较直方图
void HistCompare(float hista[],float histb[])
{
 for(int i = 0; i < h_bins * s_bins; i++)
 {
  if (hista[i] >= histb[i])