OPENCV中Harris 角点检测 的Qt例子

Harris Corner是最典型的角点检测子Corner
Detector。角点经常被检测在边缘的交界处、被遮挡的边缘、纹理性很强的部分。满足这些条件一般都是稳定的、重复性比较高的点，所以实际上他们是不是角点并不重要（因为我们的目标就是找一些稳定、重复性高的点以作为特征点）。

对理论我不太懂，请参见 /article/2236601.html

在OPENCV的文件夹下有一个samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp文件是新手文档中的例子，下面把他变成 qt的工程

全部代码见： http://download.csdn.net/detail/v6543210/8527635

1.harris.pro

#-------------------------------------------------
#
# Project created by QtCreator 2015-03-24T09:48:34
#
#-------------------------------------------------

QT       += core gui

greaterThan(QT_MAJOR_VERSION, 4): QT += widgets

TARGET = harris
TEMPLATE = app

LIBS += -Le:/opencv/build/x86/vc10/lib -lopencv_core244 -lopencv_features2d244 -lopencv_highgui244 -lopencv_imgproc244

INCLUDEPATH += "e:/opencv/build/include"
DEPENDPATH += e:/opencv/build/x86/vc10/bin

SOURCES +=  main1.cpp     mainwindow.cpp

HEADERS  += mainwindow.h

FORMS    += mainwindow.ui

2.main1.cpp

/**
* @function cornerDetector_Demo.cpp
* @brief Demo code for detecting corners using OpenCV built-in functions
* @author OpenCV team
*/
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>

using namespace cv;
using namespace std;

/// Global variables
Mat src, src_gray;
Mat myHarris_dst; Mat myHarris_copy; Mat Mc;
Mat myShiTomasi_dst; Mat myShiTomasi_copy;

int myShiTomasi_qualityLevel = 50;
int myHarris_qualityLevel = 50;
int max_qualityLevel = 100;

double myHarris_minVal; double myHarris_maxVal;
double myShiTomasi_minVal; double myShiTomasi_maxVal;

RNG rng(12345);

const char* myHarris_window = "My Harris corner detector";
const char* myShiTomasi_window = "My Shi Tomasi corner detector";

/// Function headers
void myShiTomasi_function( int, void* );
void myHarris_function( int, void* );

/**
* @function main
*/
int main( int, char** argv )
{
/// Load source image and convert it to gray
src = imread( /*argv[1]*/ "d:/sad.png", 1 );
cvtColor( src, src_gray, CV_BGR2GRAY );

/// Set some parameters
int blockSize = 3; int apertureSize = 3;

/// My Harris matrix -- Using cornerEigenValsAndVecs
myHarris_dst = Mat::zeros( src_gray.size(), CV_32FC(6) );
Mc = Mat::zeros( src_gray.size(), CV_32FC1 );

cornerEigenValsAndVecs( src_gray, myHarris_dst, blockSize, apertureSize, BORDER_DEFAULT );

/* calculate Mc */
for( int j = 0; j < src_gray.rows; j++ )
{ for( int i = 0; i < src_gray.cols; i++ )
{
float lambda_1 = myHarris_dst.at<Vec6f>(j, i)[0];
float lambda_2 = myHarris_dst.at<Vec6f>(j, i)[1];
Mc.at<float>(j,i) = lambda_1*lambda_2 - 0.04f*pow( ( lambda_1 + lambda_2 ), 2 );
}
}

minMaxLoc( Mc, &myHarris_minVal, &myHarris_maxVal, 0, 0, Mat() );

/* Create Window and Trackbar */
namedWindow( myHarris_window, CV_WINDOW_AUTOSIZE );
createTrackbar( " Quality Level:", myHarris_window, &myHarris_qualityLevel, max_qualityLevel, myHarris_function );
myHarris_function( 0, 0 );

/// My Shi-Tomasi -- Using cornerMinEigenVal
myShiTomasi_dst = Mat::zeros( src_gray.size(), CV_32FC1 );
cornerMinEigenVal( src_gray, myShiTomasi_dst, blockSize, apertureSize, BORDER_DEFAULT );

minMaxLoc( myShiTomasi_dst, &myShiTomasi_minVal, &myShiTomasi_maxVal, 0, 0, Mat() );

/* Create Window and Trackbar */
namedWindow( myShiTomasi_window, CV_WINDOW_AUTOSIZE );
createTrackbar( " Quality Level:", myShiTomasi_window, &myShiTomasi_qualityLevel, max_qualityLevel, myShiTomasi_function );
myShiTomasi_function( 0, 0 );

waitKey(0);
return(0);
}

/**
* @function myShiTomasi_function
*/
void myShiTomasi_function( int, void* )
{
myShiTomasi_copy = src.clone();

if( myShiTomasi_qualityLevel < 1 ) { myShiTomasi_qualityLevel = 1; }

for( int j = 0; j < src_gray.rows; j++ )
{ for( int i = 0; i < src_gray.cols; i++ )
{
if( myShiTomasi_dst.at<float>(j,i) > myShiTomasi_minVal + ( myShiTomasi_maxVal - myShiTomasi_minVal )*myShiTomasi_qualityLevel/max_qualityLevel )
{ circle( myShiTomasi_copy, Point(i,j), 4, Scalar( rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255) ), -1, 8, 0 ); }
}
}
imshow( myShiTomasi_window, myShiTomasi_copy );
}

/**
* @function myHarris_function
*/
void myHarris_function( int, void* )
{
myHarris_copy = src.clone();

if( myHarris_qualityLevel < 1 ) { myHarris_qualityLevel = 1; }

for( int j = 0; j < src_gray.rows; j++ )
{ for( int i = 0; i < src_gray.cols; i++ )
{
if( Mc.at<float>(j,i) > myHarris_minVal + ( myHarris_maxVal - myHarris_minVal )*myHarris_qualityLevel/max_qualityLevel )
{ circle( myHarris_copy, Point(i,j), 4, Scalar( rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255) ), -1, 8, 0 ); }
}
}
imshow( myHarris_window, myHarris_copy );
}

3.其它设置

在PATH中把OPENCV 的dll的文件夹的路径给加进去。

把代码中的路径改成你自己的路径。

4.运行结果