清空筛选条件
清空筛选条件

Info

此问题已关闭。 请重新打开它进行编辑或回答。

Generating training sequences of noises and finding kurtosis and skewness of them

1 次查看（过去 30 天）
Sajid Khan
Sajid Khan 2013-5-21
关闭： MATLAB Answer Bot 2021-8-20
Hi everyone,
I am trying to generate training sequences of different noises but I am not confirmed that whether am doing it in a correct way or not.
Here is the code snippet for generating them,
%% for uniform image
% image = uint8(ones([512,512])*128);
A = -30;
B = 30;
matrix_uniform = uint8(A + (B-A)*rand(size(image)));
%for gaussian image
Mean_added = 0;
Variance_added=400;
a = ones(512)*128;
matrix_gaussian = uint8(a + Mean_added+sqrt(Variance_added).*randn(size(a)));
%% for impulse noise
image = ones(512)*128;
matrix_impulse = imnoise(uint8(image),'salt & pepper',.4);
%% for speckle noise
image = ones(512)*128;
matrix_speckle = imnoise(uint8(image),'speckle',.1);
Am I doing it in correct way.
Also how to find their kurtosis and skewness using Matlab, actually I want to get reference kurtosis and skewness to compare with the skewness and kurtosis of noise extracted from the image to check the performance of algorithm.

此问题已关闭。

回答（1 个）

Image Analyst
Image Analyst 2014-3-5
See my image moments demo, where I compute skewness and kurtosis.
(I know this is old, but perhaps someone else will like the demo.)

此问题已关闭。

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by