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Image processing and Neural Networks

 

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14 Mar 2013 Multi Class SVM Model and classify training/test data sets into more than 2 classes with SVM. Author: Cody

Sir is it possible for us to add weights for the feature with this code??? if so how to proceed with it..?

27 Feb 2013 Gray Level Run Length Matrix Toolbox The toolbox provide useful functions for extract high order run length features Author: Xunkai Wei

Can anyone say how to normalize this GLRL matrix....

20 Feb 2013 Gray Level Run Length Matrix Toolbox The toolbox provide useful functions for extract high order run length features Author: Xunkai Wei

yeah we can take the average of features from 4 directions.. and atlast will have 11*1 matrix...

17 Feb 2013 Gray Level Run Length Matrix Toolbox The toolbox provide useful functions for extract high order run length features Author: Xunkai Wei

17 Feb 2013 Gray Level Run Length Matrix Toolbox The toolbox provide useful functions for extract high order run length features Author: Xunkai Wei

Nice toolbox.. works well.. thank you sir..

i=imread('img.jpg');
I=rgb2gray(RGB);
[GLRLM,SI]= grayrlmatrix(I,'OFFSET',[1;2;3;4],'NumLevels',8,'G',[]);
stats = grayrlprops(GLRLM,{'SRE','LRE','GLN','RLN','RP','LGRE','HGRE','SRLGE','SRHGE','LRLGE','LRHGE'})

....
i've used in this way is this correct????
1. hw to normalize the runlength matrix?? where and hw to add the command ?
...

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