Color and multiscale texture features from vectorial mathematical morphology

被引：7
|
作者：
Ledoux, A. [1 ]
Richard, N. [1 ]
机构：
[1] Univ Poitiers, XLIM SIC JUR CNRS 7252, Bat SP2MI,Bd Marie & Pierre Curie,Teleport 2, F-86962 Futuroscope, France
来源：
SIGNAL IMAGE AND VIDEO PROCESSING | 2016年 / 10卷 / 03期
关键词：
Color image; Texture features; Vector information; Perceptual distance;
D O I：
10.1007/s11760-015-0759-3
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：
In this paper, we explore an original way to compute texture features for color images in a vector process. Using a dedicated approach for color ordering, we produce a complete framework for color mathematical morphology adapted to human visual system characteristics. Then, morphological multiscale texture features are defined. To understand the texture feature behavior, we present the feature response to basic images variations. Finally, we compare the texture feature performance in front of a classical classification task using Outex database.
引用
收藏
页码：431 / 438
页数：8
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