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Title:Hybrid Models for Representation of Imagery Data
Author(s):Hong, Wei
Doctoral Committee Chair(s):Ma, Yi
Department / Program:Electrical and Computer Engineering
Discipline:Electrical and Computer Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Electronics and Electrical
Abstract:In this dissertation, we also address multimodal structures in textures by proposing a directional hybrid linear model, which combines linear hybrid models with directional filters and provides a deterministic representation of textures. Such a hybrid linear representation allows us to naturally deal with multiple textures that may appear in a single image, thus greatly facilitating texture segmentation and recognition. We discuss how this simple yet powerful representation is related to and in fact encompasses previous models in the literature, and demonstrate its applications in texture segmentation and texture recognition.
Issue Date:2006
Type:Text
Language:English
Description:98 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.
URI:http://hdl.handle.net/2142/80974
Other Identifier(s):(MiAaPQ)AAI3242873
Date Available in IDEALS:2015-09-25
Date Deposited:2006


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