Intensity and mean of segmented Regions in a image.

I want to find intensity (x) of Every segmented region and mean (y) of that region and then will made a image I(x,y). how to do it??

I am implemeting a ieee journal. I want to split a image into 1) Object Approximation Image ( I (x, y) , represents the intensity in each segmented region with the mean value of the region) and 2) object-error image ( the difference between the pixel value and the mean value of the region)

[Salaheddin Hosseinzadeh]

Hi Ali,

Would you please clarify what your intending to do? If you give us an example it would be better.

[Sardar Jaffar Ali]

I am implemeting a ieee journal. I want to split a image into 1) Object Approximation Image ( I (x, y) , represents the intensity in each segmented region with the mean value of the region) and 2) object-error image ( the difference between the pixel value and the mean value of the region)

[Image Analyst]

Sardar, did you see my answer below? If you still need more instruction, then see my Image Segmentation Tutorial in my File Exchange http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862

Answer 1

[Image Analyst]

You can use regionprops() and ask for the mean intensity of all the blobs.

labeledImage = bwlabel(binaryImage);
measurements = regionprops(labeledImage, grayscaleImage, 'MeanIntensity');

I'm not sure why you're calling the intensity x and the mean of the intensity y as if it's some kind of cartesian coordinate or something. There is a measurement called PixelValues if you're interested in the value of every single pixel in the blob. MeanIntensity gives you the mean of all those pixel values.