Presentation 2012-03-08
Optimal Estimation of Step Line-Edge Based on E-spline Pixel Acqusition Model
Akira HIRABAYASHI, Naoya KUNISADA, Pier-Luigi DRAGOTTI,
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Abstract(in English) We propose a line edge extraction algorithm based on an E-spline pixel acquisition model. A straight line-edge can be described by three parameters of orientation, offset, and amplitude. The standard method to extract these parameters is Hough transform, which has a limitation in principle to achieve sub-pixel accuracy. Such a limitation can be resolved by introducing a pixel acquisition model. Conventional approaches along this context used analytic solutions for the three parameters, which are sensitive to noise in pixels. To solve the problem, we propose an optimization approach. We first define a criterion that evaluates a distance between exponential moments obtained from noisy pixel values and its theoretical closed form. Its optimization is conducted by a simple coarse-to-fine search. Computer simulations show that not only noise resilience is much improved by the proposed method but also it extracts line-edges from real images more accurately than the Hough transform.
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Keyword(in English) Edge detection / Canny method / line-edge / Hough transform / point spread function(PSF)
Paper # CAS2011-118,SIP2011-138,CS2011-110
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Committee CAS
Conference Date 2012/3/1(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimal Estimation of Step Line-Edge Based on E-spline Pixel Acqusition Model
Sub Title (in English)
Keyword(1) Edge detection
Keyword(2) Canny method
Keyword(3) line-edge
Keyword(4) Hough transform
Keyword(5) point spread function(PSF)
1st Author's Name Akira HIRABAYASHI
1st Author's Affiliation Graduate School of Medicine, Yamaguchi University()
2nd Author's Name Naoya KUNISADA
2nd Author's Affiliation Graduate School of Medicine, Yamaguchi University
3rd Author's Name Pier-Luigi DRAGOTTI
3rd Author's Affiliation Faculty of Engineering, Imperial College London
Date 2012-03-08
Paper # CAS2011-118,SIP2011-138,CS2011-110
Volume (vol) vol.111
Number (no) 465
Page pp.pp.-
#Pages 6
Date of Issue