本文整理汇总了C++中Neighborhood::add8方法的典型用法代码示例。如果您正苦于以下问题：C++ Neighborhood::add8方法的具体用法？C++ Neighborhood::add8怎么用？C++ Neighborhood::add8使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Neighborhood的用法示例。
在下文中一共展示了Neighborhood::add8方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
//.........这里部分代码省略.........
}
else if (isprint(optopt)) {
fprintf(stderr, "Unknown option `-%c'.\n", optopt);
}
else {
fprintf(stderr, "Unknown option character `\\x%x'.\n",
optopt);
}
return 1;
default:
exit(1);
}
}
/*
* Non-option arguments are now in argv from index optind
* to index argc-1
*/
Mat image;
image = imread(argv[optind], CV_LOAD_IMAGE_GRAYSCALE);
if (!image.data) {
cout << "Loading image failed" << endl;
return -1;
}
cout << "Using gamma = " << gamma << endl;
cout << "Using rho = " << rho << endl;
cout << "Using sigma = " << sigma << endl;
Mat_<Tensor> tensors = Mat_<Tensor>::zeros(image.rows, image.cols);
Mat blur, edge, structure, color;
createAnisotropyTensor(tensors, image, sigma, rho, gamma,
blur, edge, structure, color);
imwrite(argv[optind + 1], blur);
imwrite(argv[optind + 2], edge);
imwrite(argv[optind + 3], structure);
imwrite(argv[optind + 4], color);
/*
* Network only handles integer edges, so we increase the scale a bit.
*/
int a;
int b;
a = 100;
b = beta;
/*
* Specify the neighbors of a pixel.
*/
cout << "Creating size " << neighbors << " neighborhood." << endl;
Neighborhood neigh;
if (neighbors >= 4) {
neigh.add( 1, 0, b * 1.0);
neigh.add( 0, 1, b * 1.0);
neigh.add(-1, 0, b * 1.0);
neigh.add( 0,-1, b * 1.0);
}
if (neighbors >= 8) {
neigh.add( 1, 1, b * 1.0/sqrt(2.0));
neigh.add(-1, 1, b * 1.0/sqrt(2.0));
neigh.add( 1,-1, b * 1.0/sqrt(2.0));
neigh.add(-1,-1, b * 1.0/sqrt(2.0));
}
if (neighbors >= 16) {
neigh.add8(1, 2, 1.0);
}
if (neighbors >= 32) {
neigh.add8(3, 1, 1.0);
neigh.add8(3, 2, 1.0);
}
if (neighbors >= 48) {
neigh.add8(1, 4, 1.0);
neigh.add8(3, 4, 1.0);
}
if (neighbors >= 72) {
neigh.add8(1, 5, 1.0);
neigh.add8(2, 5, 1.0);
neigh.add8(3, 5, 1.0);
}
cout << "Neighborhood: " << endl;
neigh.setupAngles();
for (Neighborhood::iterator it = neigh.begin(); it != neigh.end(); ++it) {
cout << it->x << ", " << it->y << ": " << it->dt * 180 / M_PI << endl;
}
Mat out = image.clone();
restoreAnisotropicTV(image, out, tensors, neigh, a, b, p);
cout << "Writing output to " << argv[optind + 5] << endl;
imwrite(argv[optind + 5], out);
return 0;
}