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Gomathi C

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22 Mar 2012 Multi Class Support Vector Machine This function removes out the limitation of MATLAB SVM function of two class and uses more classes. Author: Anand Mishra

I actually obtained the texture features using GLCM. My output for that was

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]

Now how should I give this as an input to the SVM program. Kindly guide me.

22 Mar 2012 GLCM texture features Calculates texture features from the input GLCMs Author: Avinash Uppuluri

Hi Avinash
I'm doing a project in liver tumor classification. I used your program 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 your 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]

Awaiting your reply.

27 Feb 2012 Region Growing (2D/3D grayscale) Recursive region growing algorithm for 2D/3D grayscale images with polygon and binary mask output Author: Daniel

when i try this code for a 3d image setting the initpos value as [] while calling, it gets the input seed point from me. But, unfortunately I get the following error.

??? Attempted to access initPos(3); index out of bounds because
numel(initPos)=2.

Kindly help me to figure out what I have to do to make the program run.

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