How to find the Statistical Properties(Mean, Standard Deviation, Skwness and Kurtosis) of image?

I = imread('C:\Users\Annalakshmi\Desktop\file\bse_gray_250.png');
offsets0 = [zeros(40,1) (1:40)'];
glcms = graycomatrix(I,'Offset',offsets0)
glcm = graycomatrix(I,'Offset',[2 0;0 2])
stats = graycoprops(glcm)

Answer 1

[KSSV]

Mean:

https://in.mathworks.com/help/images/ref/mean2.html

std:

https://in.mathworks.com/help/images/ref/std2.html

skewness and Kurtosis:

https://in.mathworks.com/matlabcentral/answers/15307-image-operations-skewness-and-kurtosis

[Anu G]

Thank You sir.

[Anu G]

I am getting error in skwness and kurtosis. Kindly help me to resolve.

I = imread('C:\Users\Annalakshmi\Desktop\file\bse_gray_250.png');
img1g_totpx = numel( I);   
size(I)
%%
% Create two gray-level co-occurrence matrices (GLCM) from the image,
% specifying different offsets.
offsets0 = [zeros(40,1) (1:40)'];

glcms = graycomatrix(I,'Offset',offsets0)
glcm = graycomatrix(I,'Offset',[2 0;0 2])
%%
% Get statistics on contrast and homogeneity of the image from the GLCMs.
stats = graycoprops(glcm);
meanval = mean2(I)
val = std2(I)
skew = sum((glcm - meanval) .^ 3 .* size(I)) ./ ((img1g_totpx - 1).* val.^3);
kurtosis = sum((glcm - meanval) .^ 4 .* size(I) ./ (( - 1) * val^4));

[KSSV]

What error?

[Anu G]

I got it sir. Thank you

[Ruba M]

please send your code

[Image Analyst]

What code? Who are you directing this request to? KSSV? Anu?

Answer 2

[Image Analyst]

See my attached demo for find the central spatial moments, if that's what you want.

KSSV's solution gives you the radiometric stats, not spatial stats. For example, the first moment (mean) for intensity will give you the mean gray level whereas for spatial it will give you the location of the centroid. Spatial moments can also give you things like moment of inertia, etc. Not sure which moments you want.