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26 February 2010 Wavelet-based technique for texture classification
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462W (2010) https://doi.org/10.1117/12.856315
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yogita K. Dubey, Amoli D. Belsare, and Milind M. Mushrif "Wavelet-based technique for texture classification", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462W (26 February 2010); https://doi.org/10.1117/12.856315
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