Finding centroid of an image with a summed pixel area greater than 120 pixels squared

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I am trying to find the position of an object in an image. I need to first find connected pixels with intensity values above threshold, which I used imregionalmax function. I know need to identify centroid's with areas greater than 120 pixels squared. I am having no problem using imregionalmax and then regionprops function to find centroid, but am having issues figuring out how to find centroids of objects with pixel areas greater than 120 pixels squared.
Any suggestions?

Accepted Answer

Image Analyst
Image Analyst on 12 Aug 2016
Heath, no, don't use imregionalmax. Use thresholding followed by bwareaopen followed by bwlabel followed by regionprops:
binaryImage = grayImage > 120;
binaryImage = bwareaopen(binaryImage, 120); % Keep blobs 120 pixels and bigger.
labeledImage = bwlabel(binaryImage);
props = regionprops(labeledImage, 'Centroid');
allCentroids = [props.Centroid];
xCentroids = allCentroids(1:2:end);
yCentroids = allCentroids(2:2:end);
See my thresholding application (to visually/interactively threshold the image) and Image Segmentation Tutorial in my File Exchange:
Image Analyst
Image Analyst on 12 Aug 2016
Well maybe. But if you used imregionalmax(), you get a mask back, and if you do
mask = imregionalmax(grayImage);
pixelValues = grayImage(mask);
meanOfLocalPeaks = mean(pixelValues);
That will give you the mean of all pixels that are local regional maxima. Not sure if that's what you want. But it doesn't involve thresholding, just masking.

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