Texture Feature Extraction using GLCM

I'm doing a project in liver tumor classification. I used the program at

http://www.mathworks.com/matlabcentral/fileexchange/22187-glcm-texture-features/content/GLCM_Features1.m

and it gave some output. I don't know whether I'm correct.

Actually I initially used Region Growing method for liver segmentation and from that I segmented tumor using FCM. So, to this GLCM program, I gave the tumor segmented image as input. Was I correct? If so, I think, then, my output will also be correct.

I gave the parameters exactly as in the example. Actually what do they mean? Do I need to change them for different images? If so, how to give the parameters? I'm completely new to this. So, kindly guide me.

I got this output. Am I correct?

stats =

    autoc: [1.857855266614132e+000 1.857955341199538e+000]
    contr: [5.103143332457753e-002 5.030548650257343e-002]
    corrm: [9.512661919561399e-001 9.519459060378332e-001]
    corrp: [9.512661919561385e-001 9.519459060378338e-001]
    cprom: [7.885631654779597e+001 7.905268525471267e+001]
    cshad: [1.219440700252286e+001 1.220659371449108e+001]
    dissi: [2.037387269065756e-002 1.935418927908687e-002]
    energ: [8.987753042491253e-001 8.988459843719526e-001]
    entro: [2.759187341212805e-001 2.743152140681436e-001]
    homom: [9.930016927881388e-001 9.935307908219834e-001]
    homop: [9.925660617240367e-001 9.930960070222014e-001]
    maxpr: [9.474275457490587e-001 9.474466930429607e-001]
    sosvh: [1.847174384255155e+000 1.846913030238459e+000]
    savgh: [2.332207337361002e+000 2.332108469591401e+000]
    svarh: [6.311174784234007e+000 6.314794324825067e+000]
    senth: [2.663144677055123e-001 2.653725436772341e-001]
    dvarh: [5.103143332457753e-002 5.030548650257344e-002]
    denth: [7.573115918713391e-002 7.073380266499811e-002]
    inf1h: [-8.199645492654247e-001 -8.265514568489666e-001]
    inf2h: [5.643539051044213e-001 5.661543271625117e-001]
    indnc: [9.980238521073823e-001 9.981394883569174e-001]
    idmnc: [9.993275086521848e-001 9.993404634013308e-001]

Kindly guide me. Thank you

[sai priya]

how did you run this code?

[talha okuyucu]

Why are there two different values in the each properties in the output?

Answer 1

[Constantino Carlos Reyes-Aldasoro]

Hello

Well you need to know what you are looking for, and it is not possible to do that without knowing your data. You want to segment a region, which will be defined by some characteristics, intensity, texture, etc. Region growing will grow from a seed until some characteristics are met (change of intensity). This is one kind of classification (applying labels to your data).

Texture will process the data in some way AND THEN you classify.

Feature Selection is the selection of the most discriminating dimensions of your data, this is not unique of texture, which is what is generating your measurement space.

Have a look at this paper about Feature Selection with Texture Segmentation

http://openaccess.city.ac.uk/4313/

Code is available in File Exchange:

https://uk.mathworks.com/matlabcentral/fileexchange/67931-multiresolution-texture-segmentation

Answer 2

[Constantino Carlos Reyes-Aldasoro]

Dear Sai Priya

I am not sure of which software you are referring to, if it is the one on fileexchange:

https://uk.mathworks.com/matlabcentral/fileexchange/67931-multiresolution-texture-segmentation

If you click just above "download from github" where it says "view license on GitHub" it will take you to the GitHub page where there is a user manual:

https://github.com/reyesaldasoro/Texture-Segmentation

Hope this helps.