Presentation 2013-05-25
Parametric Description of Image Edges by means of the Weighted Integral Method
Hidetoshi GOTO, Hidekata HONTANI,
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Abstract(in English) The authors propose a new method that efficiently and accurately estimates the parameters of the Gaussian that describes the given local image profiles. The Gaussian function is non-linear with respect to the parameters to be estimated, and this non-linearity makes their efficient and accurate estimation difficult. In the proposed method, the weighted integral method is introduced to linearize the parameter estimation problem: A system of differential equations is firstly derived that is satisfied by the Gaussian and that is linear with respect to the parameters. The system is then converted to that of integral equations. Given a local sub-window of image, one can obtain the system of the integral equations and can estimate the parameters of the Gaussian that describe the appearance in the sub-window by solving the linear system of the parameters. Experimental results showed that our proposed method estimates the parameters more efficiently and accurately than existing state-of-the-art methods.
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Keyword(in English) feature description / parameter estimation problem / scale analysis / weighted integral method
Paper # IE2013-24,PRMU2013-17,MI2013-17
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Committee MI
Conference Date 2013/5/17(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Parametric Description of Image Edges by means of the Weighted Integral Method
Sub Title (in English)
Keyword(1) feature description
Keyword(2) parameter estimation problem
Keyword(3) scale analysis
Keyword(4) weighted integral method
1st Author's Name Hidetoshi GOTO
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Hidekata HONTANI
2nd Author's Affiliation Nagoya Institute of Technology
Date 2013-05-25
Paper # IE2013-24,PRMU2013-17,MI2013-17
Volume (vol) vol.113
Number (no) 64
Page pp.pp.-
#Pages 6
Date of Issue