How to find regions of any image using active contour

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komal kella
komal kella el 28 de Mayo de 2017
Editada: MathReallyWorks el 28 de Mayo de 2017
I = imread('toyobjects.png'); imshow(I) hold on title('Original Image'); mask = false(size(I)); mask(50:150,40:170) = true; contour(mask,'Color','b'); w = activecontour(I, mask, 200, 'edge'); contour(bw,'Color','r'); title('Initial contour (blue) and final contour (red)');

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MathReallyWorks
MathReallyWorks el 28 de Mayo de 2017
Editada: MathReallyWorks el 28 de Mayo de 2017
Hello Komal,
Please make your code readable. And you forgot to attach your image as well.
For detecting regions in an image, you can use this method as well:
clc;
close all;
grayImage = imread('random.png');
[rows, columns, numberOfColorBands] = size(grayImage);
if numberOfColorBands > 1
grayImage = grayImage(:, :, 2);
end
subplot(2, 1, 1);
imshow(grayImage, []);
title('Original Grayscale Image');
binaryImage = grayImage > 128;
binaryImage = imclearborder(binaryImage);
binaryImage = bwareaopen(binaryImage, 1000);
subplot(2, 1, 2);
imshow(binaryImage, []);
title('Binary Image');
It works pretty well and is able to detect all type of regions.
I have attached my image as well. Use that for proper understanding.
Result:

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