Adaptive fuzzy edge detector for image enhancement

Chang Shing Lee, Yau Hwang Kuo

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

A novel adaptive fuzzy edge detector for image enhancement, which can work well in full range of random impulse noise probability and perform efficiently in the environment of mixed Gaussian impulse noise, is proposed. It is an extended adaptive weighted fuzzy mean (EAWFM) filter, which combines adaptive weighted fuzzy mean filter and fuzzy normed inference system to efficiently perform edge detection in smeared images. The membership functions of all fuzzy sets used in EAWFM can be adaptively determined for different images, and EAWFM filter is capable of converting blurred edges to clear ones and suppressing noise at the same time. The important properties of EAWFM filter are analyzed and some experimental results are presented to show its excellent performance.

原文English
主出版物標題1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1542-1547
頁數6
ISBN(列印)078034863X, 9780780348639
DOIs
出版狀態Published - 1998 一月 1
事件1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 - Anchorage, United States
持續時間: 1998 五月 41998 五月 9

出版系列

名字1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
2

Other

Other1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998
國家United States
城市Anchorage
期間98-05-0498-05-09

All Science Journal Classification (ASJC) codes

  • Logic
  • Control and Optimization
  • Modelling and Simulation
  • Chemical Health and Safety
  • Software
  • Safety, Risk, Reliability and Quality

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