.. _generic_corner_detector:

定制化创建角点检测子
********************************

目标
=====

在这个教程中我们将涉及:

.. container:: enumeratevisibleitemswithsquare

   * 使用 OpenCV 函数 :corner_eigenvals_and_vecs:`cornerEigenValsAndVecs <>` 来计算像素对应的本征值和本征向量来确定其是否是角点。
   * 使用OpenCV 函数 :corner_min_eigenval:`cornerMinEigenVal <>` 通过最小化本征值来进行角点检测。
   * 用上述两个函数实现一个定制化的Harris detector，类似Shi-Tomasi检测子。

解释
======

代码
====

这个教程的代码如下所示。源代码还可以从 `这个链接下载得到 <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp>`_

.. code-block:: cpp 

   #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);

   char* myHarris_window = "My Harris corner detector";
   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 argc, char** argv )
   {
     /// Load source image and convert it to gray
     src = imread( argv[1], 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<float>( j, i, 0 );
               float lambda_2 = myHarris_dst.at<float>( j, i, 1 );
               Mc.at<float>(j,i) = lambda_1*lambda_2 - 0.04*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 );
   }



解释
============

结果
======

.. image:: images/My_Harris_corner_detector_Result.jpg
              :align: center   


.. image:: images/My_Shi_Tomasi_corner_detector_Result.jpg
              :align: center   


翻译者
===============
Shuai Zheng, <kylezheng04@gmail.com>, http://www.cbsr.ia.ac.cn/users/szheng/