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?
if true % code end clc; clear all; close all; img = imread('Tableqa.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')
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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