A polynomial texture extraction with application in dynamic texture classification

被引：3
|
作者：
El Moubtahij, R. [1 ,2 ]
Augereau, B. [1 ]
Fernandez-Maloigne, C. [1 ]
Tairi, H. [2 ]
机构：
[1] UMR CNRS 7252, XLIM SIC Lab, F-86962 Chasseneuil, France
[2] USMBA, Fac Sci Dhar EL Mahraz, LIIAN Lab, Fes 30003, Morocco
来源：
TWELFTH INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION | 2015年 / 9534卷
关键词：
Texture extraction; Dynamic Textures; Polynomial decomposition; Video classification;
D O I：
10.1117/12.2182865
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Geometry and texture image decomposition is an important paradigm in image processing. Following to Yves Meyer works based on Total Variation (VT), the decomposition model has known a renewed interest. In this paper, we propose an algorithm which decomposes color image into geometry and texture component by projecting the image in a bivariate polynomial basis and considering the geometry component as the partial reconstruction and the texture component as the remaining part. The experimental results show the adequacy of using our method as a texture extraction tool. Furthermore, we integrate it into a dynamic texture classification process.
引用
收藏
页数：7
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