Edge detection using matlab

11 次查看（过去 30 天）
Ihsan Ayyach
Ihsan Ayyach 2019-5-22
编辑： Matt J 2019-5-22
close all;
clc;
img=imread('download.jpg');
B=rgb2gray(img);
subplot(2,2,1)
imshow(B)
pause(2)
I=double(B);
for i=1:size(I,1)-2
for j=1:size(I,2)-2
%Sobel mask for x-direction:
mx=((2*I(i+2,j+1)+I(i+2,j)+I(i+2,j+2))-(2*I(i,j+1)+I(i,j)+I(i,j+2)));
%Sobel mask for y-direction:
my=((2*I(i+1,j+2)+I(i,j+2)+I(i+2,j+2))-(2*I(i+1,j)+I(i,j)+I(i+2,j)));
B(i,j)=sqrt(mx.^2+my.^2);
end
end
subplot(2,2,2)
imshow(B); title('Sobel gradient');
pause(2)
%Define a threshold value
Thresh=100;
B=max(B,Thresh);
B(B==round(Thresh))=0;
B=uint8(B);
subplot(2,2,3)
imshow(~B);title('Edge detected Image');
Im using this code for detect the edges in my image and it works fine ...
My question how to plot outpot line on the input image using least squares fitting ???

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