Comparison of Texture Features Based on Gabor Filters

I
ICIAP
1999
10th International Conference on Image Analysis and Processing (ICIAP'99)
Abstract - Comparison of Texture Features Based on Gabor Filters

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10th International Conference on Image Analysis and Processing (ICIAP'99)

Venice, Italy

September 27-September 29

ISBN: 0-7695-0040-4

	ASCII Text	x
	P. Kruizinga, N. Petkov, S.E. Grigorescu, "Comparison of Texture Features Based on Gabor Filters," Image Analysis and Processing, International Conference on, pp. 142, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999.

	BibTex	x
	@article{ 10.1109/ICIAP.1999.797585, author = {P. Kruizinga and N. Petkov and S.E. Grigorescu}, title = {Comparison of Texture Features Based on Gabor Filters}, journal ={Image Analysis and Processing, International Conference on}, volume = {0}, year = {1999}, isbn = {0-7695-0040-4}, pages = {142}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797585}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Processing, International Conference on TI - Comparison of Texture Features Based on Gabor Filters SN - 0-7695-0040-4 SP EP A1 - P. Kruizinga, A1 - N. Petkov, A1 - S.E. Grigorescu, PY - 1999 VL - 0 JA - Image Analysis and Processing, International Conference on ER -

P. Kruizinga, University of Groningen

N. Petkov, University of Groningen

S.E. Grigorescu, University of Groningen

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797585

The performance of a number of texture feature operators is evaluated. The features are all based on the local spectrum which is obtained by a bank of Gabor filters. The comparison is made using a quantitative method which is based on Fisher's criterion. It is shown that, in general, the discrimination effectiveness of the features increases with the amount of post-Gabor processing.

Citation:

P. Kruizinga, N. Petkov, S.E. Grigorescu, "Comparison of Texture Features Based on Gabor Filters," iciap, pp.142, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999

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