This method  encode the grayscale image by comparing selected pixel value to its neighbour. The comparing result will be encoded into binary value as follows:
At the end, the encoded binary value will be converted back to decimal value. Those decimal value will be used as feature vectors.
 T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7): 971–987, Jul 2002. ISSN 0162-8828. doi: 10.1109/TPAMI.2002.1017623.
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