Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Vonikakis, Vassiliosa | Andreadis, Ioannisa | Gasteratos, Antoniosb; *
Affiliations: [a] Laboratory of Electronics, Section of Electronics and Information Systems Technology, Department of Electrical and Computer Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece | [b] Laboratory of Robotics and Automation, Section of Production Systems, Department of Production and Management Engineering, Democritus University of Thrace, GR-67100 Xanthi, Greece
Correspondence: [*] Corresponding author. E-mail: agaster@pme.duth.gr.
Abstract: This paper presents a new method suitable for shape recognition, inspired by the Primary Visual Cortex of the Human Visual System. It extracts a description for 2-dimensional shapes with a closed contour, regardless of their size, rotation and position, with low computational cost. The paper introduces a new computational approach to the modeling of the hypercolumns of the Primary Visual Cortex, which requires significantly less computational burden and which is highly parallel. A new shape descriptor based on the relative angles of an object is also proposed. It produces close results for different shapes of the same object, it is proportion-flexible and it can identify distorted shapes correctly. Experimental results prove that the method is adequate for shape-based image retrieval and classification, as well as for efficiently storage of edges and line drawings.
DOI: 10.3233/JCM-2010-0288
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 10, no. 1-2, pp. 23-35, 2010
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl