OpenCv学习笔记（八）：角点检测

角点是图像很重要的特征,对图像图形的理解和分析有很重要的作用。角点在保留图像图形重要特征的同时,可以有效地减少信息的数据量,使其信息的含量很高,有效地提高了计算的速度,有利于图像的可靠匹配,使得实时处理成为可能。角点对于图像当中目标的跟踪，图像检索，图像匹配都有着至关重要的指导作用。下面一小段代码是用到触点检测的主要用到opencv当中的goodFeaturesToTrack函数

#include "stdafx.h"
/**
 * @function goodFeaturesToTrack_Demo.cpp
 * @brief Demo code for detecting corners using Shi-Tomasi method
 * @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;

int maxCorners = 23;
int maxTrackbar = 100;

RNG rng(12345);
char* source_window = "Image";

/// Function header
void goodFeaturesToTrack_Demo( int, void* );

/**
 * @function main
 */
int main( int argc, char** argv )
{
  /// Load source image and convert it to gray
  src = imread( "d:\\2.jpg", 1 );
  cvtColor( src, src_gray, CV_BGR2GRAY );

  /// Create Window
  namedWindow( source_window, CV_WINDOW_AUTOSIZE );

  /// Create Trackbar to set the number of corners
  createTrackbar( "Max  corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo ); 

  imshow( source_window, src );

  goodFeaturesToTrack_Demo( 0, 0 );

  waitKey(0);
  return(0);
}

/**
 * @function goodFeaturesToTrack_Demo.cpp
 * @brief Apply Shi-Tomasi corner detector
 */
void goodFeaturesToTrack_Demo( int, void* )
{
  if( maxCorners < 1 ) { maxCorners = 1; }
 
  /// Parameters for Shi-Tomasi algorithm
  vector<Point2f> corners;
  double qualityLevel = 0.01;
  double minDistance = 10;
  int blockSize = 3;
  bool useHarrisDetector = false;
  double k = 0.04;

  /// Copy the source image
  Mat copy;
  copy = src.clone();

  /// Apply corner detection
  goodFeaturesToTrack( src_gray,
         corners,
         maxCorners,
         qualityLevel,
         minDistance,
         Mat(),
         blockSize,
         useHarrisDetector,
         k );
 

  /// Draw corners detected
  cout<<"** Number of corners detected: "<<corners.size()<<endl;
  int r = 4;
  for( int i = 0; i < corners.size(); i++ )
     { circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255)), -1, 8, 0 ); }

  /// Show what you got
  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
  imshow( source_window, copy ); 
}