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Title:Color, Texture, and Shape Features for Content-Based Image Retrieval
Author(s):She, Alfred Chia-Hwa
Doctoral Committee Chair(s):Huang, Thomas S.
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:The main contributions of our work are towards the development of a prototype content-based retrieval system, the Multimedia Analysis and Retrieval System (MARS), a joint effort by several research groups under the Digital Library Initiative. In MARS, we have developed and implemented a shape-matching method that is very fast computationally and invariant to rotation, translation, scale, and spatial quantization. We propose several generalizations of monochrome texture methods to work with color images and discuss their use in segmentation. We also perform a database retrieval accuracy test to quantitatively compare the performance of several texture methods. Based on the test results, we make observations on how color information can improve classification.
Issue Date:1998
Description:108 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.
Other Identifier(s):(MiAaPQ)AAI9904584
Date Available in IDEALS:2015-09-25
Date Deposited:1998

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