在Matlab中轻松实现图像平均滤波、中值滤波及Sobel算子(梯度锐化)
最编程
2024-02-08 19:20:47
...
clc;clear all;
img = imread('C:\Users\lihuanyu\Desktop\opencv\image\lenaNoise.png');
figure;
imshow(img),title("原图像");
img_R = img(:,:,1);
img_G = img(:,:,2);
img_B = img(:,:,3);
%纵，横，通道数
[ROW,COL,DIM] = size(img);
%构造(3,3)的矩阵
R = zeros(ROW,COL);
G = zeros(ROW,COL);
B = zeros(ROW,COL);
funBox = zeros(3,3);
for i = 1:ROW - 2
for j = 1:COL - 2
funBox = img_R(i:i+2,j:j+2);
s = sum(funBox(:))/9;
R(i+1,j+1) = s;
funBox = img_G(i:i+2,j:j+2);
s = sum(funBox(:))/9;
G(i+1,j+1) = s;
funBox = img_B(i:i+2,j:j+2);
s = sum(funBox(:))/9;
B(i+1,j+1) = s;
end;
end;
img_filter(:,:,1) = R/255;
img_filter(:,:,2) = G/255;
img_filter(:,:,3) = B/255;
figure(2);
imshow(img_filter),title("均值滤波后的图像");
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