New statistics for texture classification based on Gabor filters

被引：0

作者：

Bandzi, Peter ^{[1
]}

Oravec, Milos ^{[1
]}

Pavlovicova, Jarmila ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Dept Telecommun, Bratislava 81219, Slovakia

来源：

RADIOENGINEERING | 2007年 / 16卷 / 03期

关键词：

texture segmentation; image segmentation; Gabor filters; efficiency evaluation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

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页码：133 / 137

页数：5

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