Selecting sub-arrays in numeric array

Hey everyone,

I am working on a project that requires me to upload a RGB image to MATLAB, convert it to grayscale to extract the intensity of each pixel. However, I noticed a high number of outliers on the image. To overcome that, I want to divide it into subarrays, take their average, find the area with maximum intensity and then circle it ont the original image. At this point, I am stuck on how to divide the numeric array into subarrays automatically, meaning I would not have to do it manually everytime I upload an image with different length and width. I appreciate the help. My code is below:

PATH = 'The path for the image in your computer';
Image = imread(PATH);
BW_Image = rgb2gray(Image);
BW_Image = double(BW_Image);
figure  
imshowpair(Image,BW_Image,'montage'); 
Max = max(BW_Image);
Min = min(BW_Image); 
Maximum_Intensity_Value = max(Max);
Minimum_Intensity_Value = min(Min);
MeanValue = mean2(BW_Image); 
MeanIntensityPercentage = (MeanValue/(Maximum_Intensity_Value-Minimum_Intensity_Value))*100;
[x, y] = find(BW_Image == Maximum_Intensity_Value);
Coordinates = [x, y];
T = 0:0.1:2*pi;
X = Coordinates(1,1) + 10*sin(T); 
Y = Coordinates(1,2) + 10*cos(T);
figure 
imshow(Image);
hold on   
plot(X,Y,'w', 'LineWidth', 2);
hold off
legend('Highest Intensity Region'); 
fprintf(['The average intensity percentage of this image is ' num2str(MeanIntensityPercentage) '\n' 'The maximum intensity value of this image is ' num2str(Maximum_Intensity_Value)]);  

[Walter Roberson]

https://www.mathworks.com/matlabcentral/fileexchange/40173-imsplit

[KALYAN ACHARJYA]

In addition of Walter's hint, you can do the following-

1. Load RGB one by one
2. rgb2gray
3. https://in.mathworks.com/help/images/ref/blockproc.html
4. Find the max intensity area on the different blocks
5. Marked
6. Step 1

I suppose you can implement that.

Good Luck.