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https://hdl.handle.net/2142/80974
Description
Title
Hybrid Models for Representation of Imagery Data
Author(s)
Hong, Wei
Issue Date
2006
Doctoral Committee Chair(s)
Ma, Yi
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
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.
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