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Splitting part of image to smaller images

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Holmbrero el 9 de Oct. de 2020
Comentada: Mathieu NOE el 9 de Oct. de 2020
I want to split a part of an image into smaller regions and perform a function on each of the new regions individually. See attached image.
What is the prefered choise here. Should i crop the image to the region of interest first and then split it up or is there a more efficient way of doing this?
I want to store the data in a mxn matrix afterwards.
Any suggestions?
Anders Holmberg
  1 comentario
Mathieu NOE
Mathieu NOE el 9 de Oct. de 2020
this is an example for multiple tif files where I selected a smaller area of the image - you can work on that
% select appropriate options below ...
% files = dir('*.tif'); % all tif files in current directory
files = dir('handheld*.tif'); % as example : only tiff files with "handheld" in the filename
% main loop
for ck = 1:length(files)
Filename = files(ck).name;
H{ck} = imread(Filename); % save for future use
% plot (just to check)
figure(2*ck), imagesc(H{ck});
% crop figure
[m,n] = size(H{ck});
cur_fig = H{ck};
x_pixels_range = 1:110;
y_pixels_range = 1:110;
figure(2*ck+1), imagesc(cur_fig(x_pixels_range,y_pixels_range,:));
% insert your own code here

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Respuestas (1)

Sudhakar Shinde
Sudhakar Shinde el 9 de Oct. de 2020
Image segmentation technique can be used to partition an image into multiple parts or regions, often based on the characteristics of the pixels in the image.
  1 comentario
Holmbrero el 9 de Oct. de 2020
Thank you for your answer. I will use image segmentation, but on each of the small images. The part that i am interested in is how to split the originial image into smaller ones in an efficient way.
Anders Holmberg

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