如何在高斯滤波器差分后找到关键点

Question

我已经编写了一个查找高斯滤波器DIfference的代码，请告诉我如何根据最大值和最小值从滤波后的图像中找到关键点

高斯滤波器程序的差异

clc;

X=imread('DSC00963.JPG');

k = 10;
sigma1 =  0.5;
sigma2 = sigma1*k;

hsize = [3,3];

h1 = fspecial('gaussian', hsize, sigma1);
h1 = fspecial('gaussian', hsize, sigma2);

gauss1 = imfilter(img,h1,'replicate');
gauss2 = imfilter(img,h2,'replicate');

dogImg = gauss1 - gauss2;

imshow(dogImg);

Answer 1

我猜您可以将每个像素与移位的图像进行比较。下面找到4邻居最大值。

mask = dogImg > dogImg([1, 1:end-1], :) & ...
       dogImg > dogImg([2:end, end], :) & ...
       dogImg > dogImg(:, [1, 1:end-1]) & ...
       dogImg > dogImg(:, [2:end, end]);
[y, x] = find(mask);