Year: 2014
Journal of Fiber Bioengineering and Informatics, Vol. 7 (2014), Iss. 3 : pp. 377–386
Abstract
Independent Component Analysis (ICA) is a blind source separation technique that has been broadly used in signal and image separation. In order to verify the feasibility of ICA algorithms which will be used for the detection of fabric defect, four kinds of classic ICA algorithms have been chosen and compared in terms of their algorithm performances. The results of simulation experiments show that the separation performances of these algorithms are different and FastICA algorithm has the best separation performance than others.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.3993/jfbi09201407
Journal of Fiber Bioengineering and Informatics, Vol. 7 (2014), Iss. 3 : pp. 377–386
Published online: 2014-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 10
Keywords: ICA Algorithm