Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets

NCU Institutional Repository > 管理學院 > 資訊管理學系 > 期刊論文 > Item 987654321/106351

請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/106351

題名:	Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets
作者:	李俊賢;Li, Chunshien
貢獻者:	管理學院資訊管理學系
關鍵詞:	Algorithms;Artificial Intelligence and Intelligent Systems;Artificial neural networks;COMPUTING JOURNALS;Computing Science, Applications and Software;Fuzzy logic;Fuzzy set theory;Image restoration;Information Systems and Technology;Noise
日期:	2013-01-01
上傳時間:	2026-04-23 13:18:30 (UTC+8)
出版者:	Inderscience Enterprises Ltd.;Inderscience Publishers Ltd
摘要:	摘要： A complex neuro-fuzzy approach using new concept of complex fuzzy sets and neuro-fuzzy system is presented to deal with the problem of adaptive image noise cancelling (AINC). An image can be tainted by unknown noise, resulting in the degradation of valuable image information. A complex fuzzy set (CFS) is characterised in the unit disc of the complex plane by a complex-valued membership function that includes an amplitude function and a phase function. Based on the nature of CFSs, several CFSs can be used to design a complex neural fuzzy system (CNFS) for the application of AINC. To train the CNFS, a hybrid learning method is used, where the algorithm of artificial bee colony (ABC) and the method of recursive least squares estimator (RLSE) are integrated in a complementarily hybrid way. Three cases are used to test the proposed CNFS for image restoration. The experimental results by the proposed CNFS approach are compared with those by other approaches and the proposed approach has shown promising performance. 其他題名： ijiids 出版者： Inderscience Publishers Ltd 出版日期： 2013-01-01 出處： International journal of intelligent information and database systems, 2013-01, Vol.7 (6), p.479-495 版權： Copyright © 2013 Inderscience Enterprises Ltd. 識別號： ISSN: 1751-5858 識別號： EISSN: 1751-5866 識別號： DOI: 10.1504/IJIIDS.2013.057419
顯示於類別:	[資訊管理學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	11	檢視/開啟

在NCUIR中所有的資料項目都受到原著作權保護.

社群 sharing

資料載入中.....