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Paper Abstract and Keywords
Presentation 2010-03-02 13:45
Adaptive Thresholding Image Corner Detection Based on Curvature Scale Space
Hossain MD Foisal, Yoshihiko Miyahir, Alsharif Mohammad Reza (Univ. of Ryukyus.), Katsumi Yamashita (Osaka Nat Univ.) CAS2009-140 SIP2009-185 CS2009-135
Abstract (in Japanese) (See Japanese page) 
(in English) Corner detection or the more general terminology interest point detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection is frequently used in motion detection, image matching, tracking, image mosaicing, panorama stitching, 3D modelling and object recognition. It is difficult to detect both fine and coarse features at the same time using single-scale corner detection whereas multi-scale feature detection is inherently able to solve this problem. This paper describes a multi-scale image corner detection method based on the curvature scale-space (CSS) representation and adaptive thresholding. This method uses an adaptive local curvature threshold instead of a global threshold. To eliminate falsely detected corner, the angles of corners are checked in a dynamic region of support. The results of the proposed method were compared with the results of some other popular corner detection methods. Experimental results show that the proposed corner detection method gives better results compared to other method.
Keyword (in Japanese) (See Japanese page) 
(in English) Corner detection / Adaptive thresholding / Curvature Scale Space / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 435, SIP2009-185, pp. 297-300, March 2010.
Paper # SIP2009-185 
Date of Issue 2010-02-22 (CAS, SIP, CS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
Download PDF CAS2009-140 SIP2009-185 CS2009-135

Conference Information
Committee SIP CAS CS  
Conference Date 2010-03-01 - 2010-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Breeze Bay Marina, Miyakojima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal processing for networking and communications, and others 
Paper Information
Registration To SIP 
Conference Code 2010-03-SIP-CAS-CS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Adaptive Thresholding Image Corner Detection Based on Curvature Scale Space 
Sub Title (in English)  
Keyword(1) Corner detection  
Keyword(2) Adaptive thresholding  
Keyword(3) Curvature Scale Space  
1st Author's Name Hossain MD Foisal  
1st Author's Affiliation University. of Ryukyus. (Univ. of Ryukyus.)
2nd Author's Name Yoshihiko Miyahir  
2nd Author's Affiliation University. of Ryukyus. (Univ. of Ryukyus.)
3rd Author's Name Alsharif Mohammad Reza  
3rd Author's Affiliation University. of Ryukyus. (Univ. of Ryukyus.)
4th Author's Name Katsumi Yamashita  
4th Author's Affiliation Osaka National University (Osaka Nat Univ.)
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Date Time 2010-03-02 13:45:00 
Presentation Time 60 
Registration for SIP 
Paper # IEICE-CAS2009-140,IEICE-SIP2009-185,IEICE-CS2009-135 
Volume (vol) IEICE-109 
Number (no) no.434(CAS), no.435(SIP), no.436(CS) 
Page pp.297-300 
#Pages IEICE-4 
Date of Issue IEICE-CAS-2010-02-22,IEICE-SIP-2010-02-22,IEICE-CS-2010-02-22 

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