Type of Document	Master's Thesis
Author	Hays, Peter Sipe
URN	etd-06082009-171152
Title	A vector model for analysis, decomposition and segmentation of textures
Degree	Master of Science
Department	Electrical Engineering
Advisory Committee	Advisor Name Title Pieper, Ronald J. Committee Chair Conners, Richard W. Committee Member Poon, Ting-Chung Committee Member
Keywords	Image processing
Date of Defense	1990-06-08
Availability	restricted
Abstract A model, which assumes tonal decomposition of textures, is proposed for texture analysis and segmentation. The model is based on an interpretation in which the tones form an orthogonal basis in a vector space of possible textures. Three methods for texture segmentation, which employ a texture indicator developed from this concept, are demonstrated. Application of the vector model requires the use of a priori information of the tonal frequencies present and the tonal amplitude distributions. A proposed algorithm, which uses only a priori knowledge of the spatial frequencies to extract the tonal amplitudes i.e. texture vectors, is discussed. Examp1es illustrating the application of this concept are presented. Finally a preliminary discussion of the problems associated with determining the tonal frequencies is presented
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