caa a22 4500 46317867X CHVBK 20180406164832.0 cr unu---uuuuu 170326e20071201xx s 000 0 eng 10.1007/s10278-006-1043-4 doi (NATIONALLICENCE)springer-10.1007/s10278-006-1043-4 A Novel Image Smoothing Filter Using Membership Function [Elektronische Daten] [Tzong-Jer Chen, Keh-Shih Chuang, Sharon Chen, Jeng-Chang Lu, Ya-Hui Shiao] This paper presents a new class of image noise smoothing algorithms utilizing the membership information of the neighboring pixels. The basic idea of this method is to compute the smoothed output using neighboring pixels from the same cluster to avoid image blurring. A fuzzy c-means algorithm is first applied to the image to separate the image pixels into a certain number of clusters. A membership function is defined as the probability that a pixel belongs to a cluster. The proposed method uses this membership function as a weight to calculate the weighted sum of the pixel values from its neighboring pixels. The results of the application of this algorithm to various images show that it can smooth images with edge enhancement. The smoothness of the resultant images can be controlled by the cluster number and window size. SCAR (Society for Computer Applications in Radiology), 2007 Membership function nationallicence fuzzy c-means nationallicence noise smoothing nationallicence Chen Tzong-Jer Department of Medical Imaging Technology, Shu-Zen College of Medicine and Management, 82144, Luju Shiang, Kaohsiung, Taiwan aut Chuang Keh-Shih Department of Nuclear Sciences, National Tsing-Hua University, 30013, Hsinchu, Taiwan aut Chen Sharon Department of Nuclear Sciences, National Tsing-Hua University, 30013, Hsinchu, Taiwan aut Lu Jeng-Chang Department of Nuclear Sciences, National Tsing-Hua University, 30013, Hsinchu, Taiwan aut Shiao Ya-Hui Department of Medical Imaging Technology, Shu-Zen College of Medicine and Management, 82144, Luju Shiang, Kaohsiung, Taiwan aut Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/4(2007-12-01), 381-392 0897-1889 20:4<381 2007 20 10278 https://doi.org/10.1007/s10278-006-1043-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10278-006-1043-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Chen Tzong-Jer Department of Medical Imaging Technology, Shu-Zen College of Medicine and Management, 82144, Luju Shiang, Kaohsiung, Taiwan aut NATIONALLICENCE 700 1- Chuang Keh-Shih Department of Nuclear Sciences, National Tsing-Hua University, 30013, Hsinchu, Taiwan aut NATIONALLICENCE 700 1- Chen Sharon Department of Nuclear Sciences, National Tsing-Hua University, 30013, Hsinchu, Taiwan aut NATIONALLICENCE 700 1- Lu Jeng-Chang Department of Nuclear Sciences, National Tsing-Hua University, 30013, Hsinchu, Taiwan aut NATIONALLICENCE 700 1- Shiao Ya-Hui Department of Medical Imaging Technology, Shu-Zen College of Medicine and Management, 82144, Luju Shiang, Kaohsiung, Taiwan aut NATIONALLICENCE 773 0- Journal of Digital Imaging Springer-Verlag; http://www.springer-ny.com 20/4(2007-12-01), 381-392 0897-1889 20:4<381 2007 20 10278 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer