# statistical features for each and every pixel in the image

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sowjanya devarakonda 23 Jan 2020 5:12
편집: KALYAN ACHARJYA 23 Jan 2020 5:51
graycomatrix ,graycoprops are used to display the features of image as 'WHOLE'
it is displaying for ex:contrast=(say)0.5137
how to display features for each pixel in an image
can someone refer doc/paper?

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KALYAN ACHARJYA 23 Jan 2020 5:22
편집: KALYAN ACHARJYA 23 Jan 2020 5:35
"how to display features for each pixel in an image"
As an invividual pixel, its having intensity value only, read the image, it reflects intensity values of all pixels. As more statistical parameters can be extracted from multiple data

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sowjanya devarakonda 23 Jan 2020 5:34
thank you for the reply sir,
so,you are saying that we cannot have different energy values for different pixels in image
my aim is to display the features obtained by glcm in the form of a image
i have seen some mammographic images in terms of contrast,entropy like contrast of that image
KALYAN ACHARJYA 23 Jan 2020 5:42
If you considering the individual pixel, you can easily get it's pixel value & spatial, If you know the any feature, which can be extracted individual number (pixel value), then, no issue. Most statistical features are based on set of pixel value.
What do you mean by energy of pixel? As per my undestanding, somehow pixel value reflects the same. And contrast of image is pure relative terms, if the image having maximum pixel variations, it represents the good contrast. contrast ~pixel_value_scale_range(max_pixel-min_pixel)~See the distribution of the pixels values (histogram), you may get the more idea about contrast.
On the other hand Entropy is a statistical measure of randomnes of pixel value, how do you uniquely decide the probaibiliy of individual pixel, without considering possible occurance of possible events.
Think with group of pixel values (window) or as a whole image, you can get all statistical measure of the image or target region of the image.
Good Wishes!

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Sindar 23 Jan 2020 5:22
I don't think these features are defined for a single pixel. Similar to asking for the standard deviation of a single number

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