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	An image mosaic block detection method based on fuzzy c-means clustering
	Liu, Jingpan ; Huang, Lianfen ; Lin, Jianan ; Huang LF(黄联芬)
	2011
关键词	Computer graphics Edge detection Feature extraction Fuzzy clustering Fuzzy systems Image coding Multimedia systems Signal detection
英文摘要	Conference Name:2011 3rd International Conference on Computer Research and Development, ICCRD 2011. Conference Address: Shanghai, China. Time:March 11, 2011 - March 15, 2011.; With the development of the Broadcasting and Video network, the Monitoring System on Digital Video Broadcasting is becoming more and more important. Image recognition technology is widely applied to detect the degraded video in the television observation system. Mosaic block easily occurs in the TV signals, which will degrade the video quality. The conventional mosaic detection algorithm can't distinguish Chinese character from real mosaic block. In order to solve the problem, we propose a mosaic block detection method based on fuzzy c-means clustering to detect mosaic block. The method contains three steps. First, the frame is processed by Sobel edge detection algorithm to obtain the edge image. Second, clustering features are extracted for the fuzzy c-means clustering algorithm. Third, a fuzzy c-means clustering is employed to distinguish mosaic blocks from all the normal image blocks. Experimental results show that our algorithm could differentiate Chinese character with real mosaic block. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICCRD.2011.5764011
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/87046]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Liu, Jingpan,Huang, Lianfen,Lin, Jianan,et al. An image mosaic block detection method based on fuzzy c-means clustering. 2011-01-01.

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