我正在尝试计算直方图帧的HSV直方图。我的代码给出了Assertion失败错误。错误在函数hsv_histogram中。如果我为2维直方图做它,它对我来说很完美,但是当我添加第三维值时,它给出了断言失败错误。
// newproject.cpp : Defines the entry point for the console application.
#include "stdafx.h"
#include "highgui.h"
#include <stdio.h>
#include <cv.h>
#include <highgui.h>
#include <stdio.h>
#include <conio.h>
#include <opencv2/imgproc/imgproc.hpp> // Gaussian Blur
#include <opencv2/core/core.hpp> // Basic OpenCV structures (cv::Mat, Scalar)
#include <opencv2/highgui/highgui.hpp>
#include <iostream>
#include <conio.h>
using namespace cv;
using namespace std;
class frameprocessing{
Mat hsv_base;
Mat hist_base;
public:
void hsv_histogram(Mat Frame)
{
cvtColor( Frame, hsv_base, CV_BGR2HSV );
int h_bins = 50;
int s_bins = 32;
int v_bins = 10;
int histSize[] = { h_bins, s_bins };
float h_ranges[] = { 0, 256 };
float s_ranges[] = { 0, 180 };
float v_ranges[] = { 0, 256 };
const float* ranges[] = { h_ranges, s_ranges ,v_ranges};
int channels[] = { 0, 1 ,2};
calcHist( &hsv_base, 1, channels, Mat(), hist_base, 3, histSize, ranges, true, false );
}
};
class video{
Mat frame;
string filename;
double dWidth;
double dHeight;
public:
video()
{
}
video(string videoname)
{
vector<Mat> videoframes;
filename = videoname;
VideoCapture capture(filename);
if( !capture.isOpened() )
{
exit(0);
}
dWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH); //get the width of frames of the video
dHeight = capture.get(CV_CAP_PROP_FRAME_HEIGHT); //get the height of frames of the video
frameprocessing obj;
for( ; ; )
{
capture >> frame;
if(frame.empty())
break;
// Mat tmp=frame.clone();
obj.hsv_histogram(frame);
// videoframes.push_back(tmp);
}
//displayvideo(videoframes);
//writer(videoframes);
}
};
int _tmain(int argc, _TCHAR* argv[])
{
video obj("video.avi");
}
答案 0 :(得分:1)
你可能忘了设置v hist size?
我想那个
int histSize[] = { h_bins, s_bins };
应该是
int histSize[] = { h_bins, s_bins, v_bins };