NDLI: Automatic texture segmentation for texture-based image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Ying Liu Xiaofang Zhou
Copyright Year	2004
Description	Author affiliation: Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia (Ying Liu; Xiaofang Zhou)
Abstract	Texture-segmentation is the crucial initial step for texture-based image retrieval. Texture is the main difficulty faced to a segmentation method. Many image segmentation algorithms either can't handle texture properly or cannot obtain texture features directly during segmentation which can be used for retrieval purpose. This paper describes an automatic texture segmentation algorithm based on a set of features derived from wavelet domain, which are effective in texture description for retrieval purpose. Simulation results show that the proposed algorithm can efficiently capture the textured regions in arbitrary images, with the features of each region extracted as well. The features of each textured region can be directly used to index image database with applications as texture-based image retrieval.
Sponsorship	Centre for Inf. Technol. Innovation School of Inf. Technol., Deakin Univ. Apple Comput. International Federation of Automatic Control Emu Design
Starting Page	285
Ending Page	290
File Size	1049914
Page Count	6
File Format	PDF
ISBN	0769520847
DOI	10.1109/MULMM.2004.1264998
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-05
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image retrieval Image databases Information retrieval Discrete wavelet transforms Multimedia databases Indexes Layout Feature extraction Spatial databases
Content Type	Text
Resource Type	Article

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