MATLAB: Segment an image into portions..

image processingImage Processing Toolboxtonguevoronoi

i have a image, please can someone help me, to segment it into regions

i applied otsu threshold binarization to the image, and got a binary image,

from the binary image is it possible to get the top, bottom, left, right and center regions as a box region…

 bw = im2bw(Gray, graythresh(Gray));

Best Answer

Find the centers of each zone automatically. The centroid will be at the center - use regionprops(). The others you can get by using imerode on the binary image to shrink the mask, then take the north, south, east and west pixels. Use find() for that. Now you have the centers of each zone. Then use voronoi() to get the zones themselves.

Related Solutions

MATLAB: How can i separate all the connected regions in a binary image and display them individually.

Use bwlabel() and ismember

[labeledImage, numRegions] = bwlabel(binaryImage);
props = regionprops(labeledImage, 'Area')
% Compute all the areas.
allAreas = [props.Area]
% Display each blob in its own figure.
for k = 1 : numRegions
    thisRegion = ismember(labeledImage, k);
    figure;
    imshow(thisRegion);
    drawnow;
end

MATLAB: Bounding Box largest rectangle

stats is a structure array. Each element is a structure and has it's own bounding box. So stats(1).BoundingBox is the bounding box (x,y,width,height) of the first blob. And stats(2).BoundingBox is the bounding box (x,y,width,height) of the second blob, and so on. To display them all:

hold on;
for k = 1 : length(stats) % Loop through all blobs.
  % Find the bounding box of each blob.
  thisBlobsBoundingBox = stats(k).BoundingBox;  
  rectangle('Position', thisBlobsBoundingBox);
end

Best Answer

Related Solutions

MATLAB: How can i separate all the connected regions in a binary image and display them individually.

MATLAB: Bounding Box largest rectangle

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