How can i divied brain tumor image to 9 image for same image

I1=I(1:size(I,1)/2,1:size(I,2)/2,:); I2=I(size(I,1)/2+1:size(I,1),1:size(I,2)/2,:); I3=I(1:size(I,1)/2,size(I,2)/2+1:size(I,2),:); I4=I(size(I,1)/2+1:size(I,1),size(I,2)/2+1:size(I,2),:);

[jonas]

I see your questions rarely get answers. Why? You should provide more background, describe the problem, perhaps include an image (if relevant) and most importantly a detailed account of your desired output.

This will improve your chances of getting help.

[Rik]

I previously gave you two links in a previous comment. You evidently didn't take the advice to hart, so I urge you again to read them. It's not just for our ease, but for your benefit as well. Preparing a good question will often help you answer your questions on your own, and help others answer your questions much faster.

[Daleel Ahmed]

Ok No problem Could you help me in my code ?for fienal year project

[jonas]

"Ok No problem"

So, can you put some effort into your work? People are trying to help you. Reading your most recent reply to IA's answer genuinely made me laugh.

[Daleel Ahmed]

I was do preprocessing to my image by adaptive medain filter and i was make frame to my image 4 frame for each image. And i was extrct feature using haralick And now i need some one to help me to train neural net work or anfis system to classify my image for brain tumor

Answer 1

[Image Analyst]

OK, here it is:

grayImage = imread('cameraman.tif');
[rows, columns, numberOfColorChannels] = size(grayImage);
row1 = round(rows / 3)
row2 = round(rows * 2 / 3)
col1 = round(columns / 3)
col2 = round(columns * 2 / 3)

i11 = grayImage(1:row1, 1:col1);
subplot(3, 3, 1);
imshow(i11);

i12 = grayImage(1:row1, col1+1:col2);
subplot(3, 3, 2);
imshow(i12);

i13 = grayImage(1:row1, col2:end);
subplot(3, 3, 3);
imshow(i13);

i21 = grayImage(row1+1:row2, 1:col1);
subplot(3, 3, 4);
imshow(i21);

i22 = grayImage(row1+1:row2, col1+1:col2);
subplot(3, 3, 5);
imshow(i22);

i23 = grayImage(row1+1:row2, col2:end);
subplot(3, 3, 6);
imshow(i23);

i31 = grayImage(row2:end, 1:col1);
subplot(3, 3, 7);
imshow(i31);

i32 = grayImage(row2:end, col1+1:col2);
subplot(3, 3, 8);
imshow(i32);

i33 = grayImage(row2:end, col2:end);
subplot(3, 3, 9);
imshow(i33);

[Daleel Ahmed]

Thanks you so much ???????

Answer 2

[Image Analyst]

That's basically it, just use 9 equations instead of 4, and 1/3 and 2/3 instead of 1/2.

Or see the FAQ for a more general situation: https://matlab.wikia.com/wiki/FAQ#How_do_I_split_an_image_into_non-overlapping_blocks.3F

[Daleel Ahmed]

Can you write the 9 equations please i’m sorr Because i’m new in matlab

[Rik]

Your first question is from October 2017. You are not new to Matlab. You should be able to work this out with the pointers Image Analyst gave you. Just write your try. If it does work, post your code in a comment and we'll fix it.

[Daleel Ahmed]

I1=I(1:size(I,1)/2,1:size(I,2)/2,:); I2=I(size(I,1)/2+1:size(I,1),1:size(I,2)/2,:); I3=I(1:size(I,1)/2,size(I,2)/2+1:size(I,2),:); I4=I(size(I,1)/2+1:size(I,1),size(I,2)/2+1:size(I,2),:); Divied the image to 4 and i need to divied it to 9 because I wanna to extract feature using haralick to train eleman network

[Daleel Ahmed]

Now I wanna to increase the number of frame but i don’t now how to do that 2- i have Problem in my code to train neural networks