NDLI: CBIR using texels of RGB colour textons

Content Provider	IEEE Xplore Digital Library
Author	Putheti, S. Edara, S.R. Edara, S.A.
Copyright Year	2011
Description	Author affiliation: Electronics and Communication Engineering, Andhra University, Vizag, A.P., India (Edara, S.A.) \|\| Computer Science and Engineering, Acharya Nagarjuna University, Guntur, A.P., India (Putheti, S.; Edara, S.R.)
Abstract	The aim of this paper is to increase the success rate of CBIR system with low computational complexity. The success rate of CBIR system depends on localization of the image to be retrieved. This can be achieved by using textons of R, G, B planes of the image which describes the shape. This paper proposes 3 × 3 grids to extract the textons with low computational complexity. The proposed method is based on the texels (low level features) of textons extracted from R,G,B channels of an image as chromatic changes also give shape information. The proposed method is tested on Corel database with more than 1000 natural images. The results demonstrate that it is more efficient than texton co-occurrence matrix, texton multi histogram methods. It has good discrimination power of color, texture and shape features when compared to that of TCM and TMH methods.
Starting Page	1020
Ending Page	1025
File Size	360157
Page Count	6
File Format	PDF
ISBN	9781467301275
e-ISBN	9781467301268
DOI	10.1109/WICT.2011.6141388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-11
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Textons Histogram Image color analysis Shape RGB Channels Image retrieval Color Feature extraction Vectors Content Based Image Retrieval Texels
Content Type	Text
Resource Type	Article

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