Contour detection based on wavelet differentiation

D. Bezuglov; A. Kuzin; V. Voronin

doi:10.1117/12.2224282

19 May 2016 Contour detection based on wavelet differentiation

D. Bezuglov, A. Kuzin, V. Voronin

Proceedings Volume 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016; 98690Q (2016) https://doi.org/10.1117/12.2224282
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

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.

Citation Download Citation

D. Bezuglov, A. Kuzin, and V. Voronin "Contour detection based on wavelet differentiation", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690Q (19 May 2016); https://doi.org/10.1117/12.2224282

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