Presentation 2010-05-27
Precise Line-Edge Extraction from Low-Resolution Image by E-Spline Sampling
Akira HIRABAYASHI, Pier-Luigi DRAGOTTI,
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Abstract(in English) The standard approach for line-edge extraction from image is Hough transform, which has many difficulties including limitation of accuracy in principle and slow computation. In order to overcome these difficulties, an exact line-edge extraction method which uses point spread function (PSF) information has been proposed. In this method, however, PSF is modeled by B-spline functions, and therefore it is sensitive to noise which may exist in pixels. In order to solve this problem, we propose a line-edge extraction algorithm using E-spline functions as a model of the PSF. Our method is capable of extracting line-edge parameters, including amplitude, orientation, and offset, not only at sub-pixel level but also at exact presicion when pixel values are noiseless. Even in noisy scenario, simulation results show that the proposed method outperforms a similar method based around B-spline functions with gains in standard deviation of 1.86dB for the orientation and 9.64dB for the offset when SNR is 10dB. By combining with Canny edge detector, we show that the proposed method can extract local line-edges.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Edge detection / Canny method / line-edge / Hough transform / point spread function (PSF)
Paper # EA2010-17,SIP2010-17,SP2010-17
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Conference Information
Committee SIP
Conference Date 2010/5/19(1days)
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Paper Information
Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Precise Line-Edge Extraction from Low-Resolution Image by E-Spline Sampling
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 Pier-Luigi DRAGOTTI
2nd Author's Affiliation Faculty of Engineering, Imperial College London
Date 2010-05-27
Paper # EA2010-17,SIP2010-17,SP2010-17
Volume (vol) vol.110
Number (no) 55
Page pp.pp.-
#Pages 6
Date of Issue