int r = src.at<Vec3b>(i, j)[2]; 用来访问三通道图像的单个像素。对于三通道图像,每个像素存储了三个值,分别为蓝色、绿色、红色通道上的数值。 int gray_data = gray.at<uchar>(i, j); 用来访问灰度图像的单个像素。对于灰度图像,每个像素只存储一个值。 指针访问像素:src.ptr<uchar>(i) uchar* s...
OpenCV学习笔记——疑问 vec3b:表示每一个Vec3b对象中,可以存储3个char(字符型)数据,比如可以用这样的对象,去存储RGB图像中的一个像素点。typedef Vec<uchar, 3> Vec3b; 卷积 加权平均:各数值乘以相应的权数,然后加总求和得到总体值,再除以总的单位数。 1voidSharpen(constMat& myImage,Mat&Result)2{3CV_As...
ptr<T>(), rows, cols, src1.step, src2.step, dst.step); } else if (type == CV_8UC3) { CV_CPU_DISPATCH(cv::hal::add8u, src1.ptr<cv::Vec3b>(), src2.ptr<cv::Vec3b>(), dst.ptr<cv::Vec3b>(), rows, cols, src1.step, src2.step, dst.step); } else if (type =...
[1]); dst.at<Vec3b>(row, col)[2] = saturate_cast<uchar>(p1[2] + p2[2]); } } imshow("加法操作", dst); */ //add(image, m, dst); //add(操作的图,对图片操作的参数,输出的结果) //subtract(image, m, dst); //减法 //divide(image, m, dst); //除法 multiply(image, m,...
voidmethod_2(Mat ){double t1=getTickCount();int w=image.cols;int h=image.rows;for(int row=0;row<h;row++){Vec3b*curr=image.ptr<Vec3b>(row);for(int col=0;col<w;col++){Vec3b bgr=curr[col];bgr[0]=255-bgr[0];bgr[1]=255-bgr[1];bgr[2]=255-bgr[2];}}double t2=getTickCoun...
r = src.at<Vec3b>(row, col)[2]; sample.at<double>(0, 0) = static_cast<double>(b); sample.at<double>(0, 1) = static_cast<double>(g); sample.at<double>(0, 2) = static_cast<double>(r); int response = cvRound(em_model->predict2(sample, noArray())[1]); ...
Vec3b bgr = srcImg.at<Vec3b>(row, col); points.at<double>(index, 0) = static_cast<int>(bgr[0]); points.at<double>(index, 1) = static_cast<int>(bgr[1]); points.at<double>(index, 2) = static_cast<int>(bgr[2]);
voidextract_features(vector<string> _names,vector<vector<KeyPoint>>&key_points_for_all,vector<Mat>&descriptor_for_all,vector<vector<Vec3b>>&colors_for_all){key_points_for_all.clear();descriptor_for_all.clear();Mat image;//读取图像,获取图像特征点,并保存Ptr<Feature2D>sift=xfeatures2d::SIFT...
Vec3b * p = colorim.ptr<Vec3b>(i); for (int j = 0; j < colorim.cols; ++j) { p[j][0] = i % 255; //Blue p[j][1] = j % 255; //Green p[j][2] = 0; //Red } } //显示结果 imshow("grayim", grayim);
Vec3b *ptr = I.ptr 运行结果如下: Timeof scan_image_c (averaged for100runs):2.04884ms.Timeof scan_image_iterator (averaged for100runs):4.77701ms.Timeof scan_image_random (averaged for100runs):3.64237ms. 从数据上看,c语言的方法确实是最快的,和其他两种方式拉开了一定的差距。而at遍历比迭代器...