Presentation 2000/12/7
Proposal of New Hough Transform Algorithm Using Robust Statistics : LMedS Hough Transform
Kunihito Kato, Hiroyasu Koshimizu,
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Abstract(in English) In this paper, we propose a new Hough transform algorithm called LMedS Hough transform, which uses the measure of least median of squares as the basis to estimate the line. This means that LMedS Hough transform can provide a new measure beyond the majority standard of the ordinary Hough transform, and therefore that LMedS Hough can detect lines just in the same way of LMedS line fitting procedure. In addition to this, because this algorithm is constructed on the Hough transform paradigm, the basic useful properties of Hough transform such as robustness to the noise, multi-line detection and global line detection are inherited in LMedS Hough algorithm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Hough transform / Robust statistics / LMedS / Line detection
Paper # PRMU2000-123
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Conference Information
Committee PRMU
Conference Date 2000/12/7(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposal of New Hough Transform Algorithm Using Robust Statistics : LMedS Hough Transform
Sub Title (in English)
Keyword(1) Hough transform
Keyword(2) Robust statistics
Keyword(3) LMedS
Keyword(4) Line detection
1st Author's Name Kunihito Kato
1st Author's Affiliation Faculty of engineering, Gifu University()
2nd Author's Name Hiroyasu Koshimizu
2nd Author's Affiliation SCCS, Chukyo University
Date 2000/12/7
Paper # PRMU2000-123
Volume (vol) vol.100
Number (no) 507
Page pp.pp.-
#Pages 6
Date of Issue