NDLI: Contour Matching Based on Local Curvature Scale

Content Provider	IEEE Xplore Digital Library
Author	Zhao Yan Xu Gui-Li Tian Yu-peng Guo Rui-peng Wang Biao Li Kai-yu
Copyright Year	2013
Description	Author affiliation: Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China (Zhao Yan; Xu Gui-Li; Tian Yu-peng; Guo Rui-peng; Wang Biao; Li Kai-yu)
Abstract	Image matching based on contour is an important issue in computer vision, navigation and pattern recognition. The image matching methods like curvature-based methods and corner-based methods have poor robustness to the contour's noise and distortion, and some matching methods are applied only to closed contours. A novel contour representation and matching algorithm, based on local curvature scale, is proposed in this paper. First, build each point's c-scale segment and calculate the curvature of contour points. Then, the invariant characteristic curve is established based on curvature integral, which is invariant to RST (rotation, scale and translation). Finally, the matching points of contours are captured by measuring the similarity of invariant characteristic curves. Experimental results show that this method can achieve better performance than previous methods. Also it fits for the matching between two closed contours, two open curves and the matching between an open contour and a part of closed contour. The proposed method reduces the impact of noise and scale variation effectively, and it has better robustness to rotation, scale and translation of contour.
Sponsorship	IEEE Comput. Soc.
Starting Page	1702
Ending Page	1707
File Size	367371
Page Count	6
File Format	PDF
ISBN	9780769551227
DOI	10.1109/IMCCC.2013.376
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Local curvature scale Shape Image matching Noise Contour representation Educational institutions Robustness Kernel Contour matching
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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