Hybrid filter based on pixel classification for laser active imaging

	Hybrid filter based on pixel classification for laser active imaging
	Wang C.; Sun T.; Chen J.
	2014
发表期刊	Zhongguo Jiguang/中文 Journal of Lasers
ISSN	ISBN/02587025
卷号	41 期号:3
摘要	In order to keep the detail information of edges while suppressing noise in laser active imaging, hybrid filter based on pixel classification is proposed. Based on contour curvature, the pixels are divided into different classes. Lee filter is used to suppress speckle noise and fuzzy weighted averaging filter is used to suppress other mixed noise. A contour point screening method is proposed to select candidate contour points from noisy image. Then the contours are thinned into single pixel. After eliminating the bogus contours brought by the noise and those that are comparatively week, the contour curvatures are calculated. According to the contour curvature, the pixels of the image are divided into different classes. For the pixels belonging to different classes, fuzzy weighted averaging filter and Lee filter with different filter parameters are used, which makes the proposed method own pixel-level adaptability. Experimental results indicate that the proposed method outperform the classical Lee, Kuan and wavelet soft-thresholding filter in denoising and keeping detail edge information.
收录类别	EI
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/44045
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang C.,Sun T.,Chen J.. Hybrid filter based on pixel classification for laser active imaging[J]. Zhongguo Jiguang/中文 Journal of Lasers,2014,41(3).
APA	Wang C.,Sun T.,&Chen J..(2014).Hybrid filter based on pixel classification for laser active imaging.Zhongguo Jiguang/中文 Journal of Lasers,41(3).
MLA	Wang C.,et al."Hybrid filter based on pixel classification for laser active imaging".Zhongguo Jiguang/中文 Journal of Lasers 41.3(2014).

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