how to calculate mean and standard deviation, from the image then subtracted from the original image iteratively using matlab ?

Is it meant to be the local statistical features mean and standard deviation. or it mean by mean filter or standard deviation fitter

Answer 1

[Image Analyst]

For local mean, use imfilter, or conv2()

kernel = ones(5)/25;
localMeanImage = conv2(double(grayImage), kernel, 'same');

For local standard deviation, use stdfilt

localSDImage = stdfilt(grayImage, ones(5));

Answer 2

[yanqi liu]

local statistical features mean and standard deviation. or it mean by mean filter or standard deviation fitter

sir，may be use blockproc to process, such as

clc; clear all;
im = imread('cameraman.tif');
fun = @(block_struct) [mean2(block_struct.data) std2(block_struct.data)];
res = blockproc(double(im),[64 64],fun);
disp(res)

  167.3821    6.8601  153.7048   61.9769  169.9453   31.7836  159.2217    6.5953
  126.1189   68.7267   32.4487   46.5268  130.4160   63.4436  155.5337    9.8767
   80.6594   67.0647   50.1492   63.4185  126.0491   54.8252  132.7637   40.0863
   86.0100   52.7884   86.2617   59.6727  123.4392   30.1970  119.4883   21.3049

[safa]

I copied your code and run it but it gave me the following error :

Unterminated %{ block. Use %} to terminate.

[Image Analyst]

@safa, show your code. Because I don't see %{ in her code. In your code you have a %{ to start a big chunk of code as a comment, but you never have a %} to tell it where you want all those lines of code to stop being a comment. Search for %{ and %} in your code. Do you see the same number of each of them?