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	A new filtering method based on spatial clustering
	Zhao Hong-rui ; Tang Zhong-shi
	2010-05-11 ; 2010-05-11
关键词	Practical Theoretical or Mathematical/ filtering theory image processing pattern clustering/ filtering method spatial clustering image filter spatial information remote sensing image cluster algorithm image spatial pattern image visual effect separation noise points set signal points set weighted averaging method image noise removal/ B6135 Optical, image and video signal processing B6140B Filtering methods in signal processing C5260B Computer vision and image processing techniques C1260S Signal processing theory
中文摘要	Some traditional image filters may lose detailed spatial information while controlling noise. The remote sensing image cluster algorithm was introduced and improved, and then a spatial clustering method was presented. Spatial clustering method was helpful to distinguish and protect the image spatial patterns, and was used to separate louder noise that affected the image visual effect. Based on the separation of noise points set (NPS) and signal points set (SPS), NPS was filtered and SPS was fused with weighted averaging method. The result shows that new filter based on spatial clustering technique can remove the image noise. Furthermore, it can protect unpolluted detailed spatial information as much as possible. Better filtering result is got on the case of multi-noise.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/27092]
专题	清华大学
推荐引用方式 GB/T 7714	Zhao Hong-rui,Tang Zhong-shi. A new filtering method based on spatial clustering[J],2010, 2010.
APA	Zhao Hong-rui,&Tang Zhong-shi.(2010).A new filtering method based on spatial clustering..
MLA	Zhao Hong-rui,et al."A new filtering method based on spatial clustering".(2010).

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