How to find centroid of image and crop image in several images

Hello.

I want to convert video to binary image.

And then I want to find center and crop image.

Binay image cropped image

I want to use several images in a folder using for loop. Could I get an idea about this?

Basiclly, I will use this code to convert video to images.

clear all
close all
%// read the video:
reader = VideoReader('shahar_bend.avi');
vid = {};
while hasFrame(reader)
    vid{end+1} = im2single(readFrame(reader));
end
%// simple background estimation using mean:
bg = mean( cat(4, vid{:}), 4);
%// estimate foreground as deviation from estimated background:
for i=1:40
    fIdx(i) = i; %// do it for frame 1 ~ 60
    fg{i} = sum( abs( vid{fIdx(i)} - bg ), 3 );
    fg{i} = imresize(fg{i}, 0.3);
    fg{i} = reshape(fg{i},[],1);
end
X = cell2mat(fg);
data = double(X);

Answer 1

[Image Analyst]

This is EXACTLY what my Image Segmentation Tutorial does.

Find it in my File Exchange.

[Kong]

Thank you so much.

Image Segmentation Tutorial is amazing!!

I just want to get cropped images from several binary images in the folder. (using for loop)

Frankly, I am a beginner in Matlab. Could I get a specific code?

[Image Analyst]

I have no idea how you got your image, or video frame, but once you do, how did you binarize it? Did you use

binaryImage = imbinarize(grayImage)

or did you threshold it

binaryImage = grayImage > someThresholdValue;

Didn't I already kind of answer this in your other question about videos?

[Kong]

Hello. Thank you so much.

I just used the attached image for a test.

This image was made by this code.

clear all
close all
%// read the video:
reader = VideoReader('shahar_bend.avi');
vid = {};
while hasFrame(reader)
    vid{end+1} = im2single(readFrame(reader));
end
%// simple background estimation using mean:
bg = mean( cat(4, vid{:}), 4);
%// estimate foreground as deviation from estimated background:
for i=1:40
    fIdx(i) = i; %// do it for frame 1 ~ 60
    fg{i} = sum( abs( vid{fIdx(i)} - bg ), 3 );
    fg{i} = imresize(fg{i}, 0.3);
    fg{i} = reshape(fg{i},[],1);
end
X = cell2mat(fg);
data = double(X);

[Image Analyst]

You forgot to attach 'shahar_bend.avi'.

[Kong]

How to use image segmentation in video images - MATLAB Answers - MATLAB Central - https://www.mathworks.com/matlabcentral/answers/511399-how-to-use-image-segmentation-in-video-images

I attached here. Thank you so much