New Statistics for Texture Classification Based on Gabor Filters

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07_03_133_137.pdf(445.72 KB)
Date
2007-09
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Mark
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Společnost pro radioelektronické inženýrství
Abstract
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well known texture segmentation methods is based on Gabor filters because of their orientation and spatial frequency character. Several statistics are used to extract more information from results obtained by Gabor filtering. Big amount of input parameters causes a wide set of results which need to be evaluated. The evaluation method is based on the normal distributions Gaussian curves intersection assessment and provides a new point of view to the segmentation method selection.
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Keywords
Texture segmentation, image segmentation, Gabor filters, efficiency evaluation
Citation
Radioengineering. 2007, vol. 16, č. 3, s. 133-137. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2007/07_03_133_137.pdf
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Peer-reviewed
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en
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Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
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http://hdl.handle.net/11012/57314
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2007/3
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