Abstract:

In this paper, a texture classification of digital images based on the co-occurrence features obtained from the two-level wavelet packet decomposition is proposed. Since the most significant information of a texture often appears in the high frequency channels, these high frequency channels are again decomposed and are used for feature extraction. Further, the multiscale information captured from the wavelet decomposed images is expected to enhance the class seperability power of the co-occurrence features. The class seperability power of these features is investigated in the classification experiments with arbitrarily chosen texture images taken from the Brodatz album. The classification accuracy rates are compared with that of one-level wavelet decomposition and two-level pyramid decomposition and the results are found to be improved
significantly.

Keywords: Texture classification, wavelet decomposition, co-occurrence matrix

Biographies:                                                                                                                                                                                                         

Dr. P.S. Hiremath, Professor and Chairman, Department of P. G. Studies and Research in Computer Science, Gulbarga University, Gulbarga-585106, Karnataka, INDIA.He has obtained M.Sc. degree in 1973 and Ph.D. degree in 1978 in Applied Mathematics from Karnatak University, Dharwad. He had been in the Faculty of Mathematics and Computer Science of various Institutions in India, namely, National Institute of Technology, Surathkal (1977-79), Coimbatore Institute of Technology, Coimbatore (1979-80), National Institute of Technology, Tiruchinapalli (1980-86), Karnatak University, Dharwad (1986-1993) and has been presently working as Professor of Computer Science in Gulbarga University, Gulbarga (1993 onwards). His research areas of interest are Computational Fluid Dynamics,Optimization Techniques, Image Processing and Pattern Recognition. He has published 42 research papers in peer reviewed International Journals. Tel (off): +91 8472 249682, e-mail: hiremathps@yahoo.co.in, Fax: +91 8472 245927.

Sri. Shivashankar, S.Research Scholar, Department of P. G. Studies and Research in Computer Science, Gulbarga University, Gulbarga -585106, Karnataka, INDIA. He has obtained Master of Computer Application(M.C.A.) degree in 2000 from Gulbarga University, Gulbarga.Karnataka, India. He is working for his doctoral degree in Computer Science. His research area of interest is Image Processing and Pattern Recognition. Tel (off): +91 8472 249682, e-mail: s_shivashankar@rediffmail.com

BibTex:

@ARTICLE{P1150630004,

AUTHOR = {P.S.Hiremath and S.Shivashankar},

TITLE = {Texture Classification using Wavelet Packet Decomposition},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing},

}

(Full Paper 547KB)