最小值滤波 (C 语言实现)
遇到最小值滤波的问题,小白不知道,一个程序写了三天,终于今天傍晚出来了。。。
很简单的for循环,但是没有理解最小值滤波,怎么写都是错啊~
这是我见过做好的描述,关于最小值滤波:
3*3的像素点阵,对于中心点做最小值滤波的话,它的值将从77变换到0
处理结果图:
我一直支持也坚持开源分享的原则,为大家更好的相互学习,给出源代码
/****************************************************************** code writer : EOF code date : 2014.08.07 e-mail : [email protected] [email protected] code purpose: This demo is coded for mininum value filter. If you find something wrong with my code, please touch me by e-mail. Thank you. *******************************************************************/ #include "opencv2/highgui/highgui_c.h" #include "opencv2/imgproc/imgproc_c.h" #include <stdio.h> /*------------------------------------------------------------------------------ This two Macro are used for debugging, if you are begginer with OpenCV, it will help you to know and test what inside of the data struture in OpenCV -------------------------------------------------------------------------------*/ //#define RGB_TEST_DEBUG //#define CHANNEL_TEST_DEBUG /* the offset of three channel RGB */ #define RED_BIT 2 #define GREEN_BIT 1 #define BLUE_BIT 0 #define SQUARE_LENGTH 15 int get_dark_imagine(IplImage* const img_origin,IplImage* const img_win_dark); int main(int argc,char* argv[]) { char* win_name_bf = "Before Processing"; char* win_name_af = "After Processing"; CvSize size; IplImage* img_origin = cvLoadImage(argv[1],CV_LOAD_IMAGE_COLOR); size.height = img_origin->height; size.width = img_origin->width; IplImage* img_win_dark = cvCreateImage(size,IPL_DEPTH_8U,1);//single channel get_dark_imagine(img_origin,img_win_dark); cvNamedWindow(win_name_bf,CV_WINDOW_AUTOSIZE); //cvNamedWindow is a function which would help you to creat a window. cvShowImage(win_name_bf,img_origin); //Obviously, show the picture that you inputed. cvNamedWindow(win_name_af,CV_WINDOW_AUTOSIZE); //cvNamedWindow is a function which would help you to creat a window. cvShowImage(win_name_af,img_win_dark); //Obviously, show the picture that you inputed. cvWaitKey(0); //pause and let the user see the picture. cvReleaseImage(&img_origin); cvReleaseImage(&img_win_dark); //Finally, release the struture, otherwise, memory leak ! return 0; } int get_dark_imagine(IplImage* const img_origin,IplImage* const img_win_dark) { /* Varible description: @img_origin : A pointer which point to the original picture's IplImage-structure. @img_win_dark: A pointer which point to the dark-window's IplImage-structure. */ if(img_origin == NULL || img_win_dark == NULL) { printf("Error! img_origin or img_win_dark is NULL\n"); return 1; } int height_origin = img_origin->height ; int width_origin = img_origin->width ;//the search band width. unsigned char * const ptr_array_origin = (unsigned char*)img_origin->imageData; unsigned char * const ptr_array_win_dark = (unsigned char*)img_win_dark->imageData; unsigned char* ptr_header_origin = NULL; int row = 0; int col = 0; int square_row = 0; int square_col = 0; int min = 0; int T_min = 0; int temp_R = 0; int temp_G = 0; int temp_B = 0; int temp = 0; int search_win_start = SQUARE_LENGTH/2; /* define two varible -- height_origin & width_origin for up band-width of the search-window */ int search_win_height_end = img_win_dark->height - SQUARE_LENGTH/2; int search_win_width_end = img_win_dark->width - SQUARE_LENGTH/2; //initializition of the picture's data that 'ptr_array_win_dark' point to. for(row = 0; row < height_origin; row++) { for(col = 0; col < width_origin ;col++) { *(ptr_array_win_dark + col + row*(img_win_dark->widthStep)) = 255; } } //Mininum value filter for(row = search_win_start; row < search_win_height_end; row++) { for(col = search_win_start; col < search_win_width_end ;col++) { ptr_header_origin = ptr_array_origin + (row)*(img_origin->widthStep) + (col)*3; temp_B = *(ptr_header_origin + BLUE_BIT ); temp_G = *(ptr_header_origin + GREEN_BIT ); temp_R = *(ptr_header_origin + RED_BIT ); min = (temp_G < temp_B) ? temp_G : temp_B; min = (min < temp_R) ? min : temp_R; T_min = min; for(square_row = (row - search_win_start); square_row < (row + search_win_start + 1);square_row++) { for(square_col = (col - search_win_start); square_col < (col+search_win_start + 1);square_col++) { min = *(ptr_array_win_dark + square_col + square_row*(img_win_dark->widthStep)); if (min > T_min) { *(ptr_array_win_dark + square_col + square_row*(img_win_dark->widthStep)) = (T_min); } } } } } return 0; }
如有错误,欢迎交流指正
—— EOF
最小值滤波 (C 语言实现)
时间: 2024-11-11 05:27:39