DocumentCode :
2403059
Title :
Wavelet based Texture Segmentation
Author :
Wilscy, M. ; Sasi, Remya K.
Author_Institution :
Dept. of Comput. Sci., Univ. of Kerala, Thiruvananthapuram, India
fYear :
2010
fDate :
28-29 Dec. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Hierarchical Texture Segmentation using Wavelet packet decomposition performs an unsupervised classification of Texture features, extracted using wavelet packet decomposition to generate a segmented image. Recursive decomposition of both the approximation and the detail coefficients derived from the original signal provides a wider spectrum for richer feature extraction. This Texture Segmentation works well for Texture images with only two Textures. This approach can be used for shape extraction, detecting industrial defects, and for text extraction.
Keywords :
feature extraction; image classification; image segmentation; image texture; unsupervised learning; wavelet transforms; feature extraction; hierarchical texture segmentation; image texture; recursive decomposition; shape extraction; unsupervised classification; wavelet packet decomposition; wavelet-based texture segmentation; Clustering algorithms; Feature extraction; Image segmentation; Pixel; Wavelet packets; Segmentation; Texture; Wavelet Packet Decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5965-0
Electronic_ISBN :
978-1-4244-5967-4
Type :
conf
DOI :
10.1109/ICCIC.2010.5705877
Filename :
5705877
Link To Document :
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