Filtering with Gray-Code Kernels

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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1

Cambridge UK

August 23-August 26

ISBN: 0-7695-2128-2

	ASCII Text	x
	Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or, "Filtering with Gray-Code Kernels," Pattern Recognition, International Conference on, vol. 1, pp. 556-559, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.

	BibTex	x
	@article{ 10.1109/ICPR.2004.1334198, author = {Gil Ben-Artzi and Hagit Hel-Or and Yacov Hel-Or}, title = {Filtering with Gray-Code Kernels}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2004}, issn = {1051-4651}, pages = {556-559}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334198}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Filtering with Gray-Code Kernels SN - 1051-4651 SP556 EP559 A1 - Gil Ben-Artzi, A1 - Hagit Hel-Or, A1 - Yacov Hel-Or, PY - 2004 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Gil Ben-Artzi, Bar-Ilan University, Ramat Gan, Israel

Hagit Hel-Or, University of Haifa, Haifa, Israel

Yacov Hel-Or, The Interdisciplinary Center, Herzliya, Israel

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334198

In this paper we introduce a family of filter kernels - the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code Kernels is highly efficient and requires only 2 operations per pixel for each filter kernel, independent of the size or dimension of the kernel. We show that the family of kernels is large and includes the Walsh-Hadamard kernels amongst others. The GCK can also be used to approximate arbitrary kernels since a sequence of GCK can form a complete representation. The efficiency of computation using a sequence of GCK filters can be exploited for various real-time applications, such as, pattern detection, feature extraction, texture analysis, and more.

Citation:

Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or, "Filtering with Gray-Code Kernels," icpr, vol. 1, pp.556-559, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004

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