Gray Level Run Length Image Statistics

版本 1.0.0.0 (4.1 KB) 作者: Wout Oude Elferink
Compute image statistics from the gray level run length matrix.
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更新时间 2015/8/24

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This matlab program computes several image statistics from a gray scale image using the gray level run length matrix, these are:
1. SHORT RUN EMPHASIS (SRE)
2. LONG RUN EMPHASIS(LRE)
3. GRAY LEVEL NON-UNIFORMITY (GLN)
4. RUN PERCENTAGE (RP)
5. RUN LENGTH NON-UNIFORMITY (RLN)
6. LOW GRAY LEVEL RUN EMPHASIS (LGRE)
7. HIGH GRAY LEVEL RUN EMPHASIS (HGRE)

The function also accepts a mask to enable the user to analyze only certain regions of the image. See the script for a complete describtion.

Example:

I = imread('cameraman.tif'); % read an image
imshow(I) % show the image
mask = ones(size(I(:,:,1))); % we want to analyze the whole image
quantize = 16; % quantize the image into 16 levels
[SRE,LRE,GLN,RP,RLN,LGRE,HGRE] = glrlm(I,quantize,mask) % compute the statistics

引用格式

Wout Oude Elferink (2024). Gray Level Run Length Image Statistics (https://www.mathworks.com/matlabcentral/fileexchange/52640-gray-level-run-length-image-statistics), MATLAB Central File Exchange. 检索来源 .

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创建方式 R2013b
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版本 已发布 发行说明
1.0.0.0