textureFeatures on 2D jpg/png

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John Sal
John Sal 2024-9-21
回答： John Sal 2024-9-23
Hi,
I was looking on the textureFeatures from the Medical Imaging Toolbox and it seem it can calculate different texture features (GLCM, GLRLM, etc) but what I can not find is can it be used on a single 2D jpg/png image and not on a medicalVolume. Does someone as an idea if it is possible and how?
What I know is possible is using graycomatrix/graycoprops using the code below.
clc;
clear all;
jpgI = imread('https://www.mathworks.com/help/examples/medical/win64/ComputeTextureFeaturesForComputedTomographyCTImageExample_01.png');
glcm = graycomatrix(jpgI)
jpgStats = graycoprops(glcm)
Thanks a lot in advance.

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回答（2 个）

Gayathri
Gayathri 2024-9-23
Hello @John Sal,
I understand that you are interested in finding texture features for a single 2D image.
You can refer to the below link for computing “Gray Level Run Length Matrix”.
https://www.mathworks.com/matlabcentral/fileexchange/17482-gray-level-run-length-matrix-toolbox
We can also extract texture features using “Local Binary Patterns” as shown below,
lbpFeatures = extractLBPFeatures(jpgI)
For more information on “LBP” feature extraction, please refer the below link.
https://www.mathworks.com/help/releases/R2024a/vision/ref/extractlbpfeatures.html
Hope you find this information helpful.
John Sal
John Sal 2024-9-23
Hi,
Thanks for the reply and the helpful information. I will look at them.
The main advantage of textureFeatures is that it can do GLCM, GLRLM, GLSZM, GLDZM, NGTDM and NGLDM in one run. This is why I find it unique and extremely good.

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