opencv 阈值处理

#include <opencv2/opencv.hpp>int main(void){   IplImage *src_image = 0;   IplImage *dst_image = 0;   IplImage *dst_image_adaptive = 0;   int c;   int threshold_type;   int thresh_val;   int max_val;   int adaptive_method;   int block_size;   int offset;      src_image = cvLoadImage( "e:\\kankan\\baihe.jpg",0);            dst_image = cvCreateImage(cvSize(src_image->width,src_image->height), IPL_DEPTH_8U, 1);   cvNamedWindow( "Threshold", CV_WINDOW_AUTOSIZE ); //  dst_image_adaptive = cvCreateImage(cvSize(src_image->width,src_image->height), IPL_DEPTH_8U, 1);//   cvNamedWindow( "ThresholdAdaptive", CV_WINDOW_AUTOSIZE );   threshold_type = CV_THRESH_BINARY;   int threshold_typeBef = CV_THRESH_BINARY+1;   cvCreateTrackbar( "threshold type", "Threshold", &threshold_type, 1, 0 );   thresh_val = 100;   int thresh_valBef = 0;   cvCreateTrackbar( "thresh val", "Threshold", &thresh_val, 255, 0 );   max_val = 100;   int max_valBef = 0;   cvCreateTrackbar( "max val", "Threshold", &max_val, 255, 0 ); //  adaptive_method = CV_ADAPTIVE_THRESH_MEAN_C; //  int adaptive_methodBef = 1; //  cvCreateTrackbar( "adaptive method", "ThresholdAdaptive", &adaptive_method, 1, 0 );      /*   block_size = 1;   int block_sizeBef = 0;   cvCreateTrackbar( "block size", "ThresholdAdaptive", &block_size, 60, 0 );            offset = 30;   int offsetBef = 0;   cvCreateTrackbar( "offset", "ThresholdAdaptive", &offset, 60, 0 );          */               for(;;)   {      if((threshold_typeBef != threshold_type)    ||         (thresh_valBef != thresh_val )          ||         (max_valBef != max_val)   )      {      //   cvAdaptiveThreshold(src_image, dst_image_adaptive, (double)max_val, adaptive_method,           //              threshold_type, block_size*2+3, (double)(offset-30));             //     cvShowImage("ThresholdAdaptive", dst_image_adaptive);         if(max_val < thresh_val )         {            max_val = thresh_val;         }         cvThreshold(src_image, dst_image, (double)thresh_val,                   (double)max_val, threshold_type);         cvShowImage("Threshold", dst_image);                  threshold_typeBef = threshold_type;         thresh_valBef = thresh_val;         max_valBef = max_val;   //      adaptive_methodBef = adaptive_method;  //       block_sizeBef = block_size;  //       offsetBef = offset;                     //printf("The edge detection method is \n");      }      c = cvWaitKey(30);      if( c == 'q' || c == 'Q' || (c & 255) == 27 || (c & 255) == 32 )            break;   }      cvDestroyWindow( "Threshold" );//销毁窗口//   cvDestroyWindow( "ThresholdAdaptive" );//销毁窗口   cvReleaseImage( &src_image ); //释放图像   cvReleaseImage( &dst_image ); //释放图像 //  cvReleaseImage( &dst_image_adaptive ); //释放图像}