STATISTICAL TEXTURE ANALYSIS OF ROAD FOR MOVING OBJECTIVES

被引:0
|
作者
Popescu, Dan [1 ]
Dobrescu, Radu [2 ]
Angelescu, Nicoleta [2 ]
机构
[1] Univ Politehn Bucuresti, Fac Control & Comp, Bucharest, Romania
[2] Valahia Univ Targoviste, Fac Elect Engn, Targoviste, Romania
来源
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2008年 / 70卷 / 04期
关键词
texture; statistic features; medium co-occurrence matrix; edge densities; grey level histogram;
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 objective is to identify and localize significant regions in textured images for navigating an autonomous agent. Two types of statistic texture features are used. The first type features are the histograms, and the edge density. The second type features derive from the medium co-occurrence matrices, which is a notion introduced by the authors. The algorithms are implemented in MATLAB. The basic texture is considered the asphalt and the different textures are considered the grass and the pebble. The experimental results indicate that the features, which derive from medium co-occurrence matrices, have a good discriminating power both for texture classification and region localization.
引用
收藏
页码:75 / 84
页数:10
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