基于opencv二值取反

#include <opencv2\opencv.hpp> #include<iostream> using namespace std; using namespace cv; void main(int argc, char* argv[]) { printf("hello word!\n"); IplImage *srcvi; srcvi = cvLoadImage("vi.jpg"); //这里将lena.jpg和lena.cpp文件放在同一个文件夹下 cvNamedWindow("src", CV_WINDOW_AUTOSIZE); cvMoveWindow("src", 0, 50); cvShowImage("src", srcvi); //图像灰度化 IplImage* gray_image = cvCreateImage(cvGetSize(srcvi), 8, 1); cvCvtColor(srcvi, gray_image, CV_BGR2GRAY); cvNamedWindow("gray", CV_WINDOW_AUTOSIZE); cvMoveWindow("gray", 100, 100); cvShowImage("gray", gray_image); //-----------------------------------------二值图像-----------------------------------------// //图像二值化 IplImage*bw_image = cvCreateImage(cvGetSize(gray_image), IPL_DEPTH_8U, 1); double max_val = 255; //阈值化后的最大值 cvThreshold(gray_image, bw_image, 0, max_val, CV_THRESH_OTSU); //调用OTSU算法的参数设置 cvNamedWindow("bw", CV_WINDOW_AUTOSIZE); cvMoveWindow("bw", 200, 150); cvShowImage("bw", bw_image); //-----------------------------------------反色图像-----------------------------------------// //二值图像反色 int ivs_height, ivs_width, ivs_step, ivs_channel; int ivs_i, ivs_j, ivs_k; uchar*data; uchar*ivs_data; IplImage*ivs_image = cvCreateImage(cvGetSize(gray_image), IPL_DEPTH_8U, 1); ivs_height = bw_image->height; ivs_width = bw_image->width; ivs_step = bw_image->widthStep / sizeof(uchar); ivs_channel = bw_image->nChannels; data = (uchar*)bw_image->imageData; printf("Processing a %d X %d image with %d channel!\n", ivs_height, ivs_width, ivs_channel); ivs_data = (uchar*)ivs_image->imageData; // 反色图像 for (ivs_i = 0; ivs_i < ivs_height; ivs_i++) { for (ivs_j = 0; ivs_j < ivs_width; ivs_j++) { for (ivs_k = 0; ivs_k < ivs_channel; ivs_k++) { ivs_data[ivs_i*ivs_step + ivs_j*ivs_channel + ivs_k] = 255 - data[ivs_i*ivs_step + ivs_j*ivs_channel + ivs_k]; }//k }//j }//i //显示图像 cvNamedWindow("ivs", CV_WINDOW_AUTOSIZE);//创建窗口 cvMoveWindow("ivs", 300, 200);//窗口位置 cvShowImage("ivs", ivs_image);//显示图像 cvWaitKey(0); cvDestroyAllWindows(); // cvReleaseImage(&src); // cvReleaseImage(&gray_image); // cvReleaseImage(&bw_image); // cvReleaseImage(&ivs_image); }