NDLI: Indexing and images retrieval by content

Content Provider	IEEE Xplore Digital Library
Author	Guedri, B. Zaied, M. Ben Amar, C.
Copyright Year	2011
Description	Author affiliation: Engineering School of Gabes Av. Omar Ibn El Khattab Zerig-6029, Gabes, Tunisia (Guedri, B.; Zaied, M.; Ben Amar, C.)
Abstract	The indexing and images retrieval by content is a very interesting topic, and recently required in our days. In this paper, we propose a new structure of indexing and images retrieval process based on feature extraction by wavelet networks moralization and intelligent method of measuring similarity. First, each query image is modeled by a wavelet network of hybrid and optimal architecture, then, for the determination of visual characteristics called low levels such as: shape, texture, color, a detection filter based on wavelet shape is proposed and a new algorithm for measuring similarity between two color images is created in which the idea is inspired by a simple set of drawing colored balls. Thus, the proposed filter is used in determining the shape descriptor and accurately in the phase of binarization of the image request, whereas our algorithm of colors is applied in the act of measuring degree of similarity of two color images. Finally, for the determination of descriptors to those closest to the query image, we propose a new technique of comparison and decision-making of membership.
Starting Page	369
Ending Page	375
File Size	2225647
Page Count	7
File Format	PDF
ISBN	9781612843803
e-ISBN	9781612843834
DOI	10.1109/HPCSim.2011.5999848
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-04
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image color analysis Shape Wavelet network Image retrieval CBIR Approximation methods Features extraction Multiresolution analysis Colored balls algorithm
Content Type	Text
Resource Type	Article

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