image quadrant one by one and move to next quadrant

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trinasha
trinasha on 9 Oct 2021
Commented: DGM on 12 Oct 2021
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
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.
  3 Comments
DGM
DGM on 12 Oct 2021
Oh I missed that. Maybe this is a bit closer.
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';
% build masks and test
intvector = zeros(4,1);
for a = 1:4
thismask = xfmask(m4,a);
% do something with the mask ...
intvector(a) = dothings2(thismask);
end
[maxinta maxidxa] = max(intvector); % index of the image with highest intensity
tm4 = xfmask(m4,maxidxa);
for b = 1:4
thismask = tm4 & xfmask(m16,b);
% do something with the mask ...
intvector(b) = dothings2(thismask);
end
[maxintb maxidxb] = max(intvector);
tm16 = xfmask(m16,maxidxb);
for c = 1:4
thismask = tm4 & tm16 & xfmask(m64,c);
% do something with the mask ...
intvector(c) = dothings2(thismask);
end
[maxintc maxidxc] = max(intvector); % if this value is still needed
% placeholder task function
function fint = dothings2(m)
% this is just visualization for demonstration
imshow(1-m)
pause(0.1)
% other tasks would be done here, for example:
% clear the DMD (if that's necessary)
% set DMD to the current mask
% capture the image
% get image intensity
fint = rand(1); % placeholder intensity for this frame
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
Of course, this isn't complete. I don't have the hardware, so I'm not inclined to write the code for the parts I can't test. I'm not sure why it seems like your masks keep adding up. Does the DMD need to be explicitly cleared?
I'm not sure what the outputs need to be. So far, all this does is generate masks and compare intensities. None of the captured images are saved, only the intensities and indices of the three frames with highest intensity. The indexing scheme is [NW NE SW SE].

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