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COLOR CONSTANT DESCRIPTORS COMBINING IMAGE DERIVATIVE STRUCTURES
Hong Bao; Bing Li; De XU
Source PublicationComputing and Informatics
2012
Issue31Pages:971–982
AbstractColor constant image description is a fundamental problem in many computer vision applications. In this paper, the diagonal-offset model is adopted as reflectance model to get color constant image descriptors. This model makes the descriptors much more robust, and also fits the real world images very well. By introducing 3D moment invariants, this paper contributes to give an illumination independent descriptor generation framework. In detail, 0-, 1- and even higher order color constant descriptors can be generated from such framework. These descriptors can characterize n-order derivative image information. Furthermore, the combination thereof can characterize not only original image but also n-order edge image color information. The experiments on real image databases show that all these descriptors are robust to illumination variation and affine transformation, and perform very well for object recognition under various situations.
KeywordColor Constant Descriptors
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20387
Collection模式识别国家重点实验室_视频内容安全
Affiliation1.Beijing Jiaotong University
2.National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Science, Beijing
Recommended Citation
GB/T 7714
Hong Bao,Bing Li,De XU. COLOR CONSTANT DESCRIPTORS COMBINING IMAGE DERIVATIVE STRUCTURES[J]. Computing and Informatics,2012(31):971–982.
APA Hong Bao,Bing Li,&De XU.(2012).COLOR CONSTANT DESCRIPTORS COMBINING IMAGE DERIVATIVE STRUCTURES.Computing and Informatics(31),971–982.
MLA Hong Bao,et al."COLOR CONSTANT DESCRIPTORS COMBINING IMAGE DERIVATIVE STRUCTURES".Computing and Informatics .31(2012):971–982.
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