#if !defined MORPHOF#define MORPHOF#include 
     
      #include 
      
       class MorphoFeatures {  private:	  // threshold to produce binary image	  int threshold;	  // structuring elements used in corner detection	  cv::Mat cross;	  cv::Mat diamond;	  cv::Mat square;	  cv::Mat x;	  void applyThreshold(cv::Mat& result) {          // Apply threshold on result		  if (threshold>0)			cv::threshold(result, result, threshold, 255, cv::THRESH_BINARY_INV);	  }  public:	  MorphoFeatures() : threshold(-1), cross(5,5,CV_8U,cv::Scalar(0)), 		                                diamond(5,5,CV_8U,cv::Scalar(1)), 										square(5,5,CV_8U,cv::Scalar(1)),										x(5,5,CV_8U,cv::Scalar(0)){			  // Creating the cross-shaped structuring element		  for (int i=0; i<5; i++) {		  			  cross.at
       
        (2,i)= 1;			  cross.at
        
         (i,2)= 1;											  }		  		  // Creating the diamond-shaped structuring element		  diamond.at
         
          (0,0)= 0;		  diamond.at
          
           (0,1)= 0; diamond.at
           
            (1,0)= 0; diamond.at
            
             (4,4)= 0; diamond.at
             
              (3,4)= 0; diamond.at
              
               (4,3)= 0; diamond.at
               
                (4,0)= 0; diamond.at
                
                 (4,1)= 0; diamond.at
                 
                  (3,0)= 0; diamond.at
                  
                   (0,4)= 0; diamond.at
                   
                    (0,3)= 0; diamond.at
                    
                     (1,4)= 0; // Creating the x-shaped structuring element for (int i=0; i<5; i++) { x.at
                     
                      (i,i)= 1; x.at
                      
                       (4-i,i)= 1; } } void setThreshold(int t) { threshold= t; } int getThreshold() const { return threshold; } cv::Mat getEdges(const cv::Mat &image) { // Get the gradient image cv::Mat result; cv::morphologyEx(image,result,cv::MORPH_GRADIENT,cv::Mat()); // Apply threshold to obtain a binary image applyThreshold(result); return result; } cv::Mat getCorners(const cv::Mat &image) { cv::Mat result; // Dilate with a cross cv::dilate(image,result,cross); // Erode with a diamond cv::erode(result,result,diamond); cv::Mat result2; // Dilate with a X cv::dilate(image,result2,x); // Erode with a square cv::erode(result2,result2,square); // Corners are obtained by differencing // the two closed images cv::absdiff(result2,result,result); // Apply threshold to obtain a binary image applyThreshold(result); return result; } void drawOnImage(const cv::Mat& binary, cv::Mat& image) { cv::Mat_
                       
                        ::const_iterator it= binary.begin
                        
                         (); cv::Mat_
                         
                          ::const_iterator itend= binary.end
                          
                           (); // for each pixel for (int i=0; it!= itend; ++it,++i) { if (!*it) cv::circle(image,cv::Point(i%image.step,i/image.step),5,cv::Scalar(255,0,0)); } }};#endif#include 
                           
                            #include 
                            
                             #include 
                             
                              #include "morphoFeatures.h"int main(){ // Read input image cv::Mat image= cv::imread("d:/test/opencv/building.jpg",0); if (!image.data) return 0; // Display the image cv::namedWindow("Image"); cv::imshow("Image",image); // Create the morphological features instance MorphoFeatures morpho; morpho.setThreshold(40); // Get the edges cv::Mat edges; edges= morpho.getEdges(image); // Display the edge image cv::namedWindow("Edge Image"); cv::imshow("Edge Image",edges); // Get the corners morpho.setThreshold(-1); cv::Mat corners; corners= morpho.getCorners(image); cv::morphologyEx(corners,corners,cv::MORPH_TOPHAT,cv::Mat()); cv::threshold(corners, corners, 40, 255, cv::THRESH_BINARY_INV); // Display the corner image cv::namedWindow("Corner Image"); cv::imshow("Corner Image",corners); // Display the corner on the image morpho.drawOnImage(corners,image); cv::namedWindow("Corners on Image"); cv::imshow("Corners on Image",image); cv::waitKey(); return 0;}