標題: Detail-preserving smoothing with morphology and fuzzy reasoning
作者: Lee, YG
Hsueh, YC
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
公開日期: 1-七月-1996
摘要: This study investigates a new approach to removing noise that preserves the fine details which are based on combination of mathematical morphology and fuzzy reasoning. We extract some features from an image using mathematical morphology, then input these features, and the image itself into fuzzy-rule-based systems to produce a more graceful image. (C) 1996 SPIE and IS&T.
URI: http://hdl.handle.net/11536/1181
ISSN: 1017-9909
期刊: JOURNAL OF ELECTRONIC IMAGING
Volume: 5
Issue: 3
起始頁: 396
結束頁: 401
顯示於類別:期刊論文


文件中的檔案:

  1. A1996WL79500012.pdf