Share Email Print

Proceedings Paper

Wavelet-based technique for texture classification
Author(s): Yogita K. Dubey; Amoli D. Belsare; Milind M. Mushrif
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a technique for texture feature extraction and classification using wavelet transform. A image is decomposed into no. of sub-bands after applying Wavelet transform to it. A three level decomposition is carried out. A number of sub-bands are generated after wavelet decomposition. An energy signature is computed for each sub-band of these wavelet coefficients. A k-nearest neighbor's classifier is then employed to classify texture patterns. To test and evaluate the method, several sets of textures along with different wavelet bases are employed. Experimental results show superiority of the proposed method.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462W (26 February 2010); doi: 10.1117/12.856315
Show Author Affiliations
Yogita K. Dubey, Yeshwantrao Chavan College of Engineering (India)
Amoli D. Belsare, Yeshwantrao Chavan College of Engineering (India)
Milind M. Mushrif, Yeshwantrao Chavan College of Engineering (India)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

© SPIE. Terms of Use
Back to Top