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Paper Abstract and Keywords
Presentation 2017-03-02 16:20
A New Hough Transform Detecting Thick Line by Analysis of Vote Distribution -- Using Only Hough Space Without Refferring the Original Space --
Kazuo Ohzeki, Takuya Okunuki, Yoshikazu Kido, Yutaka Hirakawa (SIT), Simon Geiger, Stefan Schneider (UAS) LOIS2016-81
Abstract (in Japanese) (See Japanese page) 
(in English) Hough transform is able to detect thin lines well, but could not detect thick lines with keeping directions of the lines. In this paper, we first detect flatness of the distribution of Hough transformed data. Peak of Hough transformed data indicates the longest line, but does not indicate longer segment of a rectangle. The flatness is the key feature to detect longer segment of a rectangle. The experiments show good performance in detecting correct directions for white lanes of road images and detecting correct angles for office documents with slanted characters.
Keyword (in Japanese) (See Japanese page) 
(in English) Hough transform / Thick line / Diagonal Line / Distribution / Vote / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 488, LOIS2016-81, pp. 105-110, March 2017.
Paper # LOIS2016-81 
Date of Issue 2017-02-23 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee LOIS  
Conference Date 2017-03-02 - 2017-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) N.Ohama Memorial Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nobumoto Ohama Memorial Hall 
Paper Information
Registration To LOIS 
Conference Code 2017-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A New Hough Transform Detecting Thick Line by Analysis of Vote Distribution 
Sub Title (in English) Using Only Hough Space Without Refferring the Original Space 
Keyword(1) Hough transform  
Keyword(2) Thick line  
Keyword(3) Diagonal Line  
Keyword(4) Distribution  
Keyword(5) Vote  
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Keyword(7)  
Keyword(8)  
1st Author's Name Kazuo Ohzeki  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Takuya Okunuki  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
3rd Author's Name Yoshikazu Kido  
3rd Author's Affiliation Shibaura Institute of Technology (SIT)
4th Author's Name Yutaka Hirakawa  
4th Author's Affiliation Shibaura Institute of Technology (SIT)
5th Author's Name Simon Geiger  
5th Author's Affiliation University of Applied Sciences Kempten (UAS)
6th Author's Name Stefan Schneider  
6th Author's Affiliation University of Applied Sciences Kempten (UAS)
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Speaker Author-1 
Date Time 2017-03-02 16:20:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # LOIS2016-81 
Volume (vol) vol.116 
Number (no) no.488 
Page pp.105-110 
#Pages 6 
Date of Issue 2017-02-23 (LOIS) 

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