中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A scenes recognition method based on image complexity

文献类型:会议论文

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
卷号9282
页码928221
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
学科主题Image processing - Manufacture - Optical data processing - Optical testing - Target tracking - Textures
语种英语
ISSN号0277786X
源URL[http://ir.ioe.ac.cn/handle/181551/7703]  
专题光电技术研究所_光电探测与信号处理研究室(五室)
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
推荐引用方式
GB/T 7714
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.

入库方式: OAI收割

来源:光电技术研究所

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