期刊
INFORMATION SCIENCES
卷 361, 期 -, 页码 1-13出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2016.04.044
关键词
Rotation-invariant multi-resolution patterns; Local binary patterns; Texture spectrum; Image classification
资金
- European Commission [LIFE12 ENV/IT/000411]
- Spanish Government [AGL2014-56017-R]
- Department of Engineering at the University degli Studi di Perugia, Italy [D.D. 20/2015]
The subject of this study is the use of local multi-dimensional patterns for image classification. The contribution is both theoretical and experimental: on the one hand the paper introduces a complete and general mathematical model for encoding multi-resolution, rotation-invariant local patterns; on the other experimentally evaluates the use of multi resolution patterns for image classification both from an information- and performance based standpoint. The results indicate that the joint multi-resolution model proposed in the paper can actually convey an additional amount of information with respect to the marginal model; but also that the marginal model (i.e. concatenation of features computed at different resolutions) can be a good enough approximation for practical applications. (C) 2016 Elsevier Inc. All rights reserved.
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