Hello,
You can refer to the code below for dividing the image into unequal quadrants, To get the position and the belonging segment of the object you can change the ‘object_index’.
img = imread('img.jpg');
gray = rgb2gray(img);
% Threshold the image to create a binary mask
thresh = graythresh(gray);
bw = imbinarize(gray, thresh);
% Labels each connected component in the binary mask
labelled = bwlabel(bw);
% Finding the centroid of each connected component
stats = regionprops(labelled,'Centroid');
number_of_objects_in_image = numel(stats);
% Define the object index you want to find the segment for
% ---USER GIVEN
%give this with in the range of number of objects
object_index = 771;
% Find the connected component (object) with the specified index
[row, col] = find(labelled == object_index);
object_centroid = [mean(col), mean(row)];
% Dividing the image into four equally sized segments by taking 2
% perpendicular lines
[h, w] = size(bw);
segment_height = round(h/2);
segment_width = round(w/2);
% mask of the segmented regions
mask = zeros(h, w);
mask(1:segment_height, 1:segment_width) = 1; % Segment 1
mask(1:segment_height, segment_width+1:w) = 2; % Segment 2
mask(segment_height+1:h, segment_width+1:w) = 3; % Segment 3
mask(segment_height+1:h, 1:segment_width) = 4; % Segment 4
% Determine which segment the object belongs to
segment_index = mask(round(object_centroid(2)), round(object_centroid(1)));
% Display the segment index for the object
fprintf('Object %d is in segment %d.\n', object_index, segment_index);
%gives the index of that object
[x,y]=find(labelled==object_index,1,'first');
fprintf("total number of objects =%d\n",number_of_objects_in_image);
fprintf("index of the object number %d is [%d,%d]\n",object_index,x,y);
you can go through the documentation regionprops to understand more abot the function 'regionprops'.
