New Statistics for Texture Classification Based on Gabor Filters

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...

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Bibliographic Details
Published in:Radioengineering 2007-09, Vol.16 (3), p.133-137
Main Authors: J. Pavlovicova, M. Oravec, P. Bandzi
Format: Article
Language:English
Subjects:
efficiency evaluation
Gabor filters
image segmentation
Texture segmentation
Online Access:Get full text
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Summary: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.
ISSN:1210-2512