How to find the coordinate defect location in image any document to refer? Please help I am fyp student in mechanical engineering

clc
clear
close all
warning off;
x=imread('origin.jpg');
y=imread('capture.jpg');
diffImage = imabsdiff(x, y);
threshold = 5; 
mask = diffImage >= threshold;
imshow(mask)
props = regionprops(mask, 'Area')
allAreas = [props.Area]
if ~isempty(props)
    fprintf('Found %d defect areas.\n', length(props))
else
    fprintf('Found no defect areas.\n')
end

[CHEE HOON SEOW]

Answer 1

[DGM]

I'm going to assume that the attached image is the mask derived from x and y.

[mask map] = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/906590/image.png');
mask = rgb2gray(ind2rgb(mask,map))>0.5;

props = regionprops(mask, 'Area','centroid'); % you can get both
allAreas = [props.Area] % row vector of areas

allAreas = 1×2

275 86

allCentroid = vertcat(props.Centroid) % Mx2 array of centroids [x y]

allCentroid = 2×2

74.4255 107.2582 112.9884 258.4186

imshow(mask); hold on
plot(allCentroid(:,1),allCentroid(:,2),'kx') % mark the centroids

% same as before
if ~isempty(props)
    fprintf('Found %d defect areas.\n', length(props))
else
    fprintf('Found no defect areas.\n')
end

Found 2 defect areas.

[CHEE HOON SEOW]

Hi, huge appreaciate its work for me.

Thank you so much for helping me due to I am a new learner in image proccessing for my fyp needed.

[Image Analyst]

@CHEE HOON SEOW then you should definitely check out my Image Segmentation Tutorial in my File Exchange.

Image Analyst's File Exchange

[CHEE HOON SEOW]

Thank you for reply appreaciate it.

I will read thought and understand the function code apply in the image segmentation tutorials.

Agains thanks for sharing