how to train the deep neural network with GLCM features to find out whether an input image is stego or clean ?(based on these features)

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uthara
uthara 2015-12-12
编辑： uthara 2015-12-12
Hi,
i am trying to do a project where i have to train the deep neural network with glcm features and based on this glcm features , the DNN should be able to identify whether an image is clean or data hidden one .
i have extracted four features using glcm . the values for each image are like
contrast =[5.81944444444445,6.47777777777778] homogenity=[0.737242345924548,0.706970684878285] correlation=[0.279660493827161,0.274506172839506] energy=[0.799867724867725,0.798429232804233]
i have made an algorithm based on the deep learn toolbox , but dont know where to implement these features in it.i have uploaded the algorithm file in this .
please anyone have a look and help me with it ?

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