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题名:
A scenes recognition method based on image complexity
作者: Song, Qinghuan1,2; Chen, Zhongbi1; Sun, Shaohua3; Hu, Jinlong1,2; Cheng, Hua1,2
出版日期: 2014
会议名称: Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
会议日期: 2014
学科分类: Image processing - Manufacture - Optical data processing - Optical testing - Target tracking - Textures
DOI: 10.1117/12.2069491
通讯作者: Song, Qinghuan
中文摘要: 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. © 2014 SPIE.
英文摘要: 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. © 2014 SPIE.
收录类别: Ei
语种: 英语
卷号: 9282
ISSN号: 0277786X
文章类型: 会议论文
页码: 928221
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7703
Appears in Collections:光电探测与信号处理研究室(五室)_会议论文

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作者单位: 1. Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan, China
2. University of Chinese Academy of Sciences, Beijing, China
3. Kunming Boating Equipment Test and Research Center, Kunming, Yunnan, China

Recommended Citation:
Song, Qinghuan,Chen, Zhongbi,Sun, Shaohua,et al. A scenes recognition method based on image complexity[C]. 见:Proceedings of SPIE: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment. 2014.
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