Texture Feature Extraction of Video Frames Using GLCM
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Girisha A B , M C Chandrashekhar , Dr. M Z Kurian|
Girisha A B , M C Chandrashekhar , Dr. M Z Kurian."Texture Feature Extraction of Video Frames Using GLCM". International Journal of Engineering Trends and Technology (IJETT). V4(6):2718-2721 Jun 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
This paper presents a novel system for texture feature extraction of video frames using Gray Level Co - occurrence Matrix (GLCM).GLCM extraction is done using hardware. Texture is one of the important characteristics used in identifying regions of interest or objects in an image. GLCM is one of the statistical method of examining texture that considers the spatial rel ationship of pixels is the GLCM, also known as the gray level spatial dependence matrix. The GLCM functions are used to characterize the texture of an image by calculating how often pairs of pixel with specific values and in a specified spatial relationshi p that occurs in an image. This created GLCM is then used for extracting statistical measures. GLCM is a second order statistical feature which contains information about pixels having similar gray level values in an image.
 R.E. Haralick, K. Shanmugam, I. Dinstein, Textural Features for Image Classification , IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC - 3, No. 6, Nov 1973
 Andrea Baraldi and Flavio Panniggiani, An Investigation of the Textural Characteristics Associated with Gray Level Cooccurrence Matrix Statistical Parameters , IEEE transactions on geosciences and remote sensin g, vol. 33, no. 2, march 1995
 Girisha A B, M C Chandrashekhar, Dr. M.Z.Kurian, FPGA implementation of GLCM, International Journal of Advanced Research in Electrical,Electronics, and Instrumentation Engineering,vol 2, issue 6,june 2013
Texture Analysis, GLCM, FPGA, Statistical method.