Efficient implementation of kernel filtering

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/555
Kernel based filtering is one of the fundamental tools of image
analysis and processing. A number of approaches have been developed
over the years that allow efficient implementation of such filters
even when the kernel size is large. This article reviews some of these
methods and introduces their ITK implementations.
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minus Automatic Testing Results by Insight-Journal Dashboard on Fri Dec 7 15:06:28 2007 for revision #4
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plus Automatic Testing Results by Insight-Journal Dashboard on Wed Aug 15 03:41:41 2007 for revision #2
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plus Automatic Testing Results by Insight-Journal Dashboard on Thu Aug 9 10:34:33 2007 for revision #1
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plus MICCAI workshop review by Kevin Cleary on 09-11-2007 for revision #2
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plus Comprehensive contribution, very useful fast filters by Dan Mueller on 07-18-2007 for revision #1
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Categories: Blurring filters, Code speed optimization, Filtering, Mathematical Morphology
Keywords: linear filtering, morphology, efficient methods, rank filtering
Toolkits: ITK
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