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Structured Non-Linear Algorithms for Image Processing based on Non-Parametric Descriptions

Hetzheim, Hartwig and Dooley, Laurence S. (1995). Structured Non-Linear Algorithms for Image Processing based on Non-Parametric Descriptions. In: Teoh, Eam Khwang ed. Second Asian Conference on Computer Vision, Volume 3. Singapore: Nanyang Technological University, pp. 402–406.

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Abstract

This paper discusses the application of non-parametric methods, such as a rank-algorithm, in order to find different regions within an image which possess special stochastic properties. The underlying mathematical concepts are presented and in order to illustrate this method, an image which is composed of well-defined structures and a stochastic process is given. It will also be shown how the relevant parameters of the stochastic process can be estimated

Item Type: Book Chapter
ISBN: 981-00-7177-9, 978-981-00-7177-6
Extra Information: Proceedings: 2nd Asian Conference on Computer Vision ACCV '95: December 5-8 1995; Concorde Hotel, Singapore
Invited session papers were also published as "Recent Developments in Computer Vision" Springer ISBN: 978-3-540-60793-9, but not this paper.
Keywords: Image processing; Stochastic processes; Structured nonlinear algorithms; Nonparametric descriptions; Rank-algorithm; Stochastic properties; Mathematical concepts;
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
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Item ID: 17768
Depositing User: Laurence Dooley
Date Deposited: 20 Jul 2009 09:35
Last Modified: 02 Dec 2010 20:35
URI: http://oro.open.ac.uk/id/eprint/17768
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