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Proceedings Paper

Contour detection based on wavelet differentiation
Author(s): D. Bezuglov; A. Kuzin; V. Voronin
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Paper Abstract

This work proposes a novel algorithm for contour detection based on high-performance algorithm of wavelet analysis for multimedia applications. To solve the noise effect on the result of peaking in this paper we consider the direct and inverse wavelet differentiation. Extensive experimental evaluation on noisy images demonstrates that our contour detection method significantly outperform competing algorithms. The proposed algorithm provides a means of coupling our system to recognition application such as detection and identification of vehicle number plate.

Paper Details

Date Published: 19 May 2016
PDF: 8 pages
Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690Q (19 May 2016); doi: 10.1117/12.2224282
Show Author Affiliations
D. Bezuglov, Rostov State Transport Univ. (Russian Federation)
A. Kuzin, Don State Technical Univ. (Russian Federation)
V. Voronin, Don State Technical Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 9869:
Mobile Multimedia/Image Processing, Security, and Applications 2016
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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