Automatic selection of parameters for vessel/neurite segmentation algorithms

Automatic selection of parameters for vessel/neurite segmentation algorithms

An automated method is presented for selecting optimal parameter settings for vessel/neurite segmentation algorithms using the minimum description length principle and a recursive random search algorithm. It trades off a probabilistic measure of image-content coverage against its conciseness. It ena...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 14(2005), 9 vom: 01. Sept., Seite 1338-50
1. Verfasser: Abdul-Karim, Muhammad-Amri (VerfasserIn)
Weitere Verfasser: Roysam, Badrinath, Dowell-Mesfin, Natalie M, Jeromin, Andreas, Yuksel, Murat, Kalyanaraman, Shivkumar
Format: Aufsatz
Sprache:English
Veröffentlicht: 2005
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.