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How to Detect Edges of an Image using Canny Edge Detection technique. I have already detected edges of Images, but I'm not sure if it is correct or not. Also, I want to add legend command and axis information in this, how would I do this thing?

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Hamza Zaheer
Hamza Zaheer on 22 Jul 2018
Edited: Image Analyst on 22 Jul 2018
if true
% code
end
clc;
clear all;
close all;
img = imread('Table.jpg');
image(img)
title('Original Image')
figure,
I = rgb2gray(img);
imshow(uint8(I))
image(I)
title('Grey Scaled Image')
figure,
Canny_img = edge(I,'Canny');
imshow(Canny_img)
image(Canny_img*255)
title('Edge Detected Image')

Accepted Answer

Image Analyst
Image Analyst on 22 Jul 2018
Edited: Image Analyst on 22 Jul 2018
Use axis('on', 'image'). I fixed other problems too. Fixed code is below:
clc;
clear all;
close all;
workspace; % Make sure the workspace panel is showing.
% Read in original RGB image.
rgbImage = imread('Table.jpg');
subplot(2, 2, 1);
imshow(rgbImage)
axis('on', 'image');
title('Original Image')
% Convert to gray scale.
grayImage = rgb2gray(rgbImage);
subplot(2, 2, 2);
imshow(grayImage)
axis('on', 'image');
title('Grey Scale Image')
% Get edges
Canny_img = edge(grayImage, 'Canny');
subplot(2, 2, 3);
imshow(Canny_img, [])
axis('on', 'image');
title('Edge Detected Image')
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0.05, 1, 0.95]);
By the way, you don't need to do edge detection to "find" the table if that's all that you want to do. You can simply threshold.

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