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Proceedings Paper

A scene recognition method based on image complexity
Author(s): Qinghuan Song; Zhongbi Chen; Shaohua Sun; Jinlong Hu; Hua Cheng
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Paper Abstract

During the image processing, in order to solve the problem of target automatic extraction and tracking under multiple scenarios, we present a method of image complexity description, in this paper. Based on the global features about the appearance of gray level, the appearance of target and the randomness of image texture, this method describe the image complexity using the information entropy, the edge entropy and the texture entropy. The experiments show that this method could measure image complexity qualitatively. The complexity given by this method is according with the difficulty of the work to extract and track the target.

Paper Details

Date Published: 18 September 2014
PDF: 7 pages
Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 928221 (18 September 2014); doi: 10.1117/12.2069491
Show Author Affiliations
Qinghuan Song, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Zhongbi Chen, Institute of Optics and Electronics (China)
Shaohua Sun, Kunming Boating Equipment Test and Research Ctr. (China)
Jinlong Hu, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)
Hua Cheng, Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 9282:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; Wei Gao, Editor(s)

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