DocumentCode
3437757
Title
Adaptive Neural Regularization Assignment for Semi-Blind Biomedical Image Restoration
Author
Binaghi, E. ; Gallo, Ignazio ; Guidali, A. ; Raspanti, M. ; Salvini, G.
Author_Institution
Univ. of Insubria, Varese
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
207
Lastpage
207
Abstract
The aim of this work was to experimentally investigate the potentialities of an adaptive technique based on the Hopfield neural model for semi-blind restoration of Scanning Electron Microscopy (SEM) images.
Keywords
Hopfield neural nets; image restoration; medical image processing; scanning electron microscopy; Hopfield neural model; SEM; adaptive neural regularization assignment; scanning electron microscopy image; semiblind biomedical image restoration; Adaptive algorithm; Biomedical imaging; Degradation; Image processing; Image restoration; Kernel; Machine vision; Neural networks; Scanning electron microscopy; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International
Conference_Location
Kildare
Print_ISBN
978-0-7695-2887-8
Type
conf
DOI
10.1109/IMVIP.2007.18
Filename
4318161
Link To Document