Images Retrieval Based on Integrated Features
Author:
Affiliation:
1. Lunghwa University of Science and Technology
2. Universiti Tun Hussein Onn Malaysia (UTHM)
3. Chung Yuan Christian University
Abstract
Publisher
Trans Tech Publications, Ltd.
Link
https://www.scientific.net/AMM.543-547.2292.pdf
Reference6 articles.
1. Henning Müller, Nicolas Michoux, David Bandon, Antoine Geissbuhler, A review of content-based image retrieval systems in medical applications—clinical benefits and futuredirections, International Journal of Medical Informatics., Volume: 73, Issue: 1, pp.1-23, February, (2004).
2. Sameer Antani, Rangachar Kasturi, Ramesh Jain, A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video, Pattern Recognition chapter, Volume: 35, Issue: 4, April, 2002, pp.945-965.
3. Sebe N. and Lew M.S., Texture Features for Content based Retrieval", in principles of visual information Retrieval, Springer – verlag, Indexing, (2001).
4. K. Konstantinidis, A. Gasteratos and I. Andreadis, Image retrieval based on fuzzy color histogram processing, , Optics Communications 248 (2005) 375–386.
5. W. Niblack R. Barber and etc, The QBIC Project: Querying Images By Content Using Colour, Texture, and Shape, SPIE Vol. 1908(1993), 173-181.
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