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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46995

Title: A fuzzy rule based adaptive centre weighted
Authors: Tung-Chien Chiang;Chih-Hui Chiu;Wen-June Wang
Contributors: 國立臺灣海洋大學:通訊科學系
Date: 2006
Issue Date: 2018-06-26T08:40:00Z
Publisher: International Journal of Computer Applications in Technology
Abstract: Abstract: In this paper, a fuzzy rule based adaptive centre weighted median (FCWM) filter for the image restoration is introduced. According to some statistic measures of the input image, the parameters of fuzzy membership functions are determined to construct a set of fuzzy rules. The adequate centre weight is the output of fuzzy rules in order to attain the final output pixel, which is adaptive with the sliding of the local filtering window in raster scanning order across the image. Unlike the previous detection based filters looking for the threshold iteratively, the proposed filter establishes the associated rules quickly and in a straightforward manner. A lot of computer simulations show that the proposed FCWM filter can achieve a superior performance either in detail preservation or in noise suppression.
Relation: 27(2-3) pp.192-203
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/46995
Appears in Collections:[通訊與導航工程學系] 期刊論文

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