A scenes recognition method based on image complexity | |
Song, Qinghuan1,2; Chen, Zhongbi1; Sun, Shaohua3; Hu, Jinlong1,2; Cheng, Hua1,2 | |
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 |
内容类型 | 会议论文 |
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. |
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