Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37687
Title: Extracting occlusion from images based on texture-synthesis methods
Authors: Zhao, T
Feng, D
Tan, Z
Keywords: Markov processes
Computer graphics
Image segmentation
Image texture
Issue Date: 2004
Source: Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing (ISIMP’2004), Hong Kong, 20-22 Oct. 2004, p. 354-357 How to cite?
Abstract: This paper proposes a method of region segmentation by which occlusions are extracted from a non-repeating, non-parametric texture. Based on a method of texture synthesis proposed by Efros and Leung (1999), this method of segmentation assumes the texture can be described by a Markov random field with probabilities conditioned on neighboring pixels. Instead of generating a new texture, the Markov model is used to determine the acceptance of pixels as part of the texture. This method has the advantage of not requiring any special filter preprocessing or texton processing.
URI: http://hdl.handle.net/10397/37687
ISBN: 0-7803-8687-6
DOI: 10.1109/ISIMP.2004.1434073
Appears in Collections:Conference Paper

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