DocumentCode
3546946
Title
A one-quadrant discrete-time cellular neural network architecture for pixel-level snakes: B/W processing
Author
Brea, V.M. ; Laiho, M. ; Vilarino, D.L. ; Paasio, A. ; Cabello, D.
Author_Institution
Dept. of Electron. & Comput. Sci., Santiago de Compostela Univ., Spain
fYear
2005
fDate
23-26 May 2005
Firstpage
3922
Abstract
This paper introduces a one-quadrant discrete-time cellular neural network architecture for the pixel-level snakes, an active-contour-based technique. The motivation behind such an architecture is to have a subsequent on-chip implementation with better figures of merit, especially area consumption and processing speed. The current paper goes through the B/W operations performed in the pixel-level snake algorithm.
Keywords
cellular neural nets; discrete time systems; image processing; B/W processing; active-contour-based technique; area consumption; discrete-time cellular neural network; on-chip implementation; one-quadrant discrete-time architecture; pixel-level snakes; processing speed; Active contours; Cellular neural networks; Computer architecture; Computer science; Data mining; Hardware; Information technology; Iterative algorithms; Pixel; Semiconductor device modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN
0-7803-8834-8
Type
conf
DOI
10.1109/ISCAS.2005.1465488
Filename
1465488
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