image quadrant one by one and move to next quadrant

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Hello, I want to show mask one quadrant by one quadrant and take images. But the code is making on one quadrant and the two and three...Eventually all the quadrants are on. After comparing the intensities of the image, I want to move to that quadrant and divide it again by four, such as in images pdf attached. Can anyone please help me with this?
% function dimension = getquadrant(q1,q2,q3,q4)
clc
clear all
close all
%%load dmd
classname = 'alpV42x64';
tagname = classname;
pseudoDLL = logical(0);
protofile = 'alpV42x64proto.m';
protofunc = @alpV42x64proto;
arch = 'win64';
dllfile = 'C:\Users\ReddyLabAdmin\Documents\MATLAB\alp4395.dll';
alplib('delete')
alplib('set', 'tag', tagname, 'classname', classname, ...
'dllfile', dllfile, 'pseudoDLL', pseudoDLL, 'protofile', protofile, ...
'protofunc', protofunc, 'arch', arch)
myapi = alpload();
mydev = alpdevice(myapi);
mydev.alloc();
%define the size of dmd
i = 1024;
j = 768;
dmd = zeros(i,j,'uint8');
[rows, columns, numColorChannels] = size(dmd)
numblocks = 2;
topRows = round(linspace(1, rows+1, numblocks + 1))
leftColumns = round(linspace(1, columns+1, numblocks + 1))
%show mask and capture image
for row = 1 : length(topRows) - 1
row1 = topRows(row);
row2 = topRows(row + 1) - 1;
for col = 1 : length(leftColumns) - 1
col1 = leftColumns(col);
col2 = leftColumns(col + 1) - 1;
dmd(row1 : row2, col1 : col2, :) = 255;
mydev.put(dmd);
myimage1 = captureimage();
%imwrite(myimage1,'r_row%d%dcolumn%d%d.jpg,row1, row2, col1, col2');
mydev.stop();
end
end
% %q1
% dmd = zeros(i,j,'uint8');
% q1 = 1:j/2,1:i/2;
% dmd(q1) = 255;
% mydev.put(dmd);
% myimage1 = captureimage();
% imwrite(myimage1,'Q1.jpg');
% mydev.stop();
% %q2
% dmd = zeros(i,j,'uint8');
% q2 = j/2:j,1:i/2;
% dmd(q2) = 255;
% mydev.put(dmd);
% myimage2 = captureimage();
% imwrite(myimage2,'Q2.jpg');
% mydev.stop();
% %q3
% dmd = zeros(i,j,'uint8');
% q3 = 1:j/2,i/2:i;
% dmd(q3) = 255;
% mydev.put(dmd);
% myimage3 = captureimage();
% imwrite(myimage3,'Q3.jpg');
% mydev.stop();
% %q4
% dmd = zeros(i,j,'uint8');
% q4 = j/2:j,i/2:i;
% dmd(q4) = 255;
% mydev.put(dmd);
% myimage4 = captureimage();
% imwrite(myimage4,'Q4.jpg');
% mydev.stop();
maximumintensity = calculatemaximum(myimage1,myimage2,myimage3,myimage4);
% if maximumintensity == meanIntensityValue1
% dimension = size(q1);
% else if maximumintensity == meanIntensityValue2
% dimension = size(q2);
%
% else if maximumintensity == meanIntensityValue3
% dimension = size(q3);
%
% else maximumintensity == meanIntensityValue4
% dimension = size(q4);
% end
  2 Comments
DGM
DGM on 9 Oct 2021
Edited: DGM on 9 Oct 2021
What should happen when the image geometry is not integer-divisible by [8 8]?
EDIT: Or is the image always the 256x256 DMD mask?
trinasha
trinasha on 10 Oct 2021
I just want the mask(1024*768) to be divided in quadrant and it is divisible up to 256*256.

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Accepted Answer

DGM
DGM on 10 Oct 2021
Edited: DGM on 10 Oct 2021
This should be a start
s = [768 1024];
% generate three masks that can be transformed and combined
% to create the desired masks
m4 = false(s);
m4(1:s(1)/2,1:s(2)/2) = true;
squaresize = s/4;
xx = mod(0:(s(2)-1),squaresize(2)*2)<squaresize(2);
yy = mod(0:(s(1)-1),squaresize(1)*2)<squaresize(1);
m16 = xx & yy';
squaresize = s/8;
xx = mod(0:(s(2)-1),squaresize(2)*2)<squaresize(2);
yy = mod(0:(s(1)-1),squaresize(1)*2)<squaresize(1);
m64 = xx & yy';
% just display them for sake clarifying the example
subplot(1,3,1)
imshow(m4)
subplot(1,3,2)
imshow(m16)
subplot(1,3,3)
imshow(m64)
This is an example of how this can be used to generate all the masks:
clf
for a = 1:4
thismask = xfmask(m4,a);
% do something with the mask ...
dothings(thismask);
end
for a = 1:4
tm4 = xfmask(m4,a);
for b = 1:4
thismask = tm4 & xfmask(m16,b);
% do something with the mask ...
dothings(thismask);
end
end
for a = 1:4
tm4 = xfmask(m4,a);
for b = 1:4
tm16 = xfmask(m16,b);
for c = 1:4
thismask = tm4 & tm16 & xfmask(m64,c);
% do something with the mask ...
dothings(thismask);
end
end
end
% placeholder task function
function dothings(m)
imshow(m)
pause(0.1)
end
% convenience function to flip masks
function y = xfmask(x,k)
switch k
case 1
y = x;
case 2
y = fliplr(x);
case 3
y = flipud(x);
case 4
y = rot90(x,2);
otherwise
error('k must be between 1 and 4')
end
end
This will just show the masks in sequence. Bear in mind that if the equipment controller is expecting a uint8-scaled image, you can just use im2uint8(thismask) to convert it.
I bet there's some elegant way of doing this, but this works.
  10 Comments
DGM
DGM on 4 Mar 2022
Oh. So the intensity peak within the mask. ... but is the rest of it doing what you needed?

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