访问像素级改变图片效果

来源：互联网发布：11对战平台网络问题编辑：程序博客网时间：2024/06/06 06:55
/*像素扫描改变图像*/#include<opencv2\opencv.hpp>#include<iostream>using namespace cv;using namespace std;int main() {double t = (double)getTickCount();Mat img = imread("D://图片//5.jpg");int div = 64;if (img.empty()) {cout << "图片加载失败" << endl;return -1;}imshow("show_org", img);Mat img_tem = img.clone();    //减色Mat img_t2 = img.clone();        //通道不同变换Mat img_t3 = img.clone();     //锐化图像处理Mat img_t4 = img.clone();       //通过核心矩阵锐化图像Mat_<Vec3b>::iterator it = img_tem.begin<Vec3b>();Mat_<Vec3b>::iterator itend = img_tem.end<Vec3b>();          //基本减色算法,常规迭代遍历for (; it != itend; ++it) {(*it)[0] = (*it)[0] / div*div + div / 2;(*it)[1] = (*it)[1] / div*div + div / 2;(*it)[2] = (*it)[2] / div*div + div / 2;}imwrite("633.jpg", img_tem);     //存入磁盘int n1 = img_t2.rows;int n2 = img_t2.channels();int n3 = img_t2.cols;for (int i = 0; i < img_t2.rows; i++) {uchar *data = img_t2.ptr<uchar>(i);   //指向对应的一行for (int j = 0; j < n3; j++) {data[j*n2 + 0] = data[j*n2 + 0] - data[j*n2 + 0] % div - div / 2;data[j*n2 + 1] = data[j*n2 + 1] - data[j*n2 + 1] % div;data[j*n2 + 2] = data[j*n2 + 2] - data[j*n2 + 2] % div + div / 2;}}int m1 = img_t2.rows;int m2 = img_t2.channels();int m3 = img_t2.cols;Mat result(img.size(), img.type());for (int i = 1; i < m1-1; i++) {               //访问相邻像素锐化图像边缘,这里不访问没有完整相邻像素的边缘像素uchar *p_now = img_t3.ptr<uchar>(i);uchar *p_pre = img_t3.ptr<uchar>(i-1);uchar *p_nex = img_t3.ptr<uchar>(i+1);uchar *p_out = result.ptr<uchar>(i);for (int j = 0; j < m3; j++) {if (j == 0 || j == m3-1) {p_out[j*m2 + 0] = 0;p_out[j*m2 + 1] = 0;    p_out[j*m2 + 2] = 0;}else {p_out[j*m2 + 0] = p_now[j*m2 + 0] * 5 - p_nex[j*m2 + 0] - p_pre[j*m2 + 0] - p_now[(j - 1) * m2 + 0] - p_now[(j + 1) * m2 + 0];p_out[j*m2 + 1] = p_now[j*m2 + 1] * 5 - p_nex[j*m2 + 1] - p_pre[j*m2 + 1] - p_now[(j - 1) * m2 + 1] - p_now[(j + 1) * m2 + 1];p_out[j*m2 + 2] = p_now[j*m2 + 2] * 5 - p_nex[j*m2 + 2] - p_pre[j*m2 + 2] - p_now[(j - 1) * m2 + 2] - p_now[(j + 1) * m2 + 2];}}}uchar *r = result.ptr<uchar>(0);uchar *rr = result.ptr<uchar>(result.rows-1);for (int i = 0; i < m3; i++) {     //对第一行和最后一行没有处理的像素设置黑色r[i*m2 + 0] = 0;r[i*m2 + 1] = 0;r[i*m2 + 2] = 0;rr[i*m2 + 0] = 0;rr[i*m2 + 1] = 0;rr[i*m2 + 2] = 0;}Mat kernel(3, 3, CV_32F, Scalar(0));   //核定义kernel.at<float>(1, 1) = 5;kernel.at<float>(0, 1) = -1;kernel.at<float>(2, 1) = -1;kernel.at<float>(1, 0) = -1;kernel.at<float>(1, 2) = -1;filter2D(img_t4, img_t4, img_t4.depth(), kernel); //核变换imshow("show_change", img_tem);imshow("show_change_2", img_t2);imshow("show_change_3", result);imshow("show_KernelChange", img_t4);int count = 200;for (int i = 0; i < count; i++) {           //椒盐噪声，随机选择一些点变成白色或者黑色int j = rand() % img.rows;int k = rand() % img.cols;if (img.type() == CV_8UC1) {        //不同的图片通道类型对应不同的变换img.at<uchar>(j, k) = 255;}else if(img.type() == CV_8UC3){img.at<Vec3b>(j, k)[0] = 255;img.at<Vec3b>(j, k)[1] = 255;img.at<Vec3b>(j, k)[2] = 255;}}imshow("show_change_img", img);double Time = ((double)getTickCount() - t) / getTickFrequency();cout << "Time = " << Time << endl;waitKey(0);destroyAllWindows;return 0;}
运行结果：
锐化一也不知道是什么原因显示奇怪，之后再修改吧
0 0