OPenCV直方图均衡 和 图像缩放
OPenCV直方图均衡 和 图像缩放
1. 图像缩放
- #include <cv.h>
- #include <highgui.h>
- #include <math.h>
- int main(int argc, char* argv[])
- {
- IplImage *src = 0; //源图像指针
- IplImage *dst = 0; //目标图像指针
- float scale = 0.618; //缩放倍数为0.618倍
- CvSize dst_cvsize; //目标图像尺寸
- /* the first command line parameter must be image file name */
- if ( argc == 2 && (src = cvLoadImage(argv[1], -1))!=0 )
- {
- //如果命令行传递了需要打开的图片就无须退出,所以注释掉下面一行!
- //return -1;
- }
- else
- {
- src = cvLoadImage("tiger.jpg"); //载入工作目录下文件名为“tiger.jpg”的图片。
- }
- dst_cvsize.width = src->width * scale; //目标图像的宽为源图象宽的scale倍
- dst_cvsize.height = src->height * scale; //目标图像的高为源图象高的scale倍
- dst = cvCreateImage( dst_cvsize, src->depth, src->nChannels); //构造目标图象
- cvResize(src, dst, CV_INTER_LINEAR); //缩放源图像到目标图像
- cvNamedWindow( "src", CV_WINDOW_AUTOSIZE ); //创建用于显示源图像的窗口
- cvNamedWindow( "dst", CV_WINDOW_AUTOSIZE ); //创建用于显示目标图像的窗口
- cvShowImage( "src", src ); //显示源图像
- cvShowImage( "dst", dst ); //显示目标图像
- cvWaitKey(-1); //等待用户响应
- cvReleaseImage(&src); //释放源图像占用的内存
- cvReleaseImage(&dst); //释放目标图像占用的内存
- cvDestroyWindow( "src" ); //销毁窗口“src”
- cvDestroyWindow( "dst" ); //销毁窗口“dst”
- //void cvDestroyAllWindows(void);
- return 0;
- }
2. 直方图均衡
- #include "cv.h"
- #include "highgui.h"
- #define HDIM 256 // bin of HIST, default = 256
- //直方图均衡
- int main( int argc, char** argv )
- {
- IplImage *src = 0, *dst = 0, *src1=0;
- CvHistogram *hist = 0;
- int n = HDIM;
- double nn[HDIM];
- uchar T[HDIM];
- CvMat *T_mat;
- int x;
- int sum = 0; // sum of pixels of the source image 图像中象素点的总和
- double val = 0;
- if( (src=cvLoadImage("save.jpg", 0)) == NULL) // force to gray image
- return -1;
- cvNamedWindow( "source", 1 );
- cvNamedWindow( "result", 1 );
- // calculate histgram 计算直方图
- hist = cvCreateHist( 1, &n, CV_HIST_ARRAY, 0, 1 );
- cvCalcHist( &src, hist, 0, 0 );
- // Create Accumulative Distribute Function of histgram
- val = 0;
- for ( x = 0; x < n; x++)
- {
- val = val + cvGetReal1D (hist->bins, x);
- nn[x] = val;
- }
- // Compute intensity transformation 计算变换函数的离散形式
- sum = src->height * src->width;
- for( x = 0; x < n; x++ )
- {
- T[x] = (uchar) (255 * nn[x] / sum); // range is [0,255]
- }
- // Do intensity transform for source image
- dst = cvCloneImage( src );
- T_mat = cvCreateMatHeader( 1, 256, CV_8UC1 );
- cvSetData( T_mat, T, 0 );
- // directly use look-up-table function 直接调用内部函数完成 look-up-table 的过程
- cvLUT( src, dst, T_mat );
- cvShowImage( "source", src );
- cvShowImage( "result", dst );
- cvWaitKey(0);
- cvSaveImage("save.jpg", src);
- cvDestroyWindow("source");
- cvDestroyWindow("result");
- cvReleaseImage( &src );
- cvReleaseImage( &dst );
- cvReleaseHist ( &hist );
- return 0;
- }
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