期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：1
页码：45-49
出版社：Engg Journals Publications
摘要：This paper presents a novel bilateral filtering using weighed fcm algorithm based on Gaussian kernel function for image manipulations such as segmentation and denoising . Our proposed bilateral filtering consists of the standard bilateral filter and the original Euclidean distance is replaced by a kernel � induced distance in the algorithm. We have applied the proposed filtering for image denoising with both the impulse and Gaussian random noise, which achieves better results than the bilateral filtering based denoising approaches, the Perona-Maliks anisotropic diffusion filter, the fuzzy vector median filter and the Non-Local Means filter.
关键词：fuzzy c means(fcm); Gaussian kernel function; bilateral filter; Persona- Maliks anisotropic diffusion filter; fuzzy vector median filter; Non-Local Means(NLM) filter.
