Title :
Efficient hardware-oriented cellular active contours
Author :
Vilariño, David L. ; Rekeczky, Csaba
Author_Institution :
Dept. of Electron. & Comput. Sci., Santiago de Compostela Univ., Spain
Abstract :
In this paper, an improved algorithm for the cellular active contour technique called pixel-level snakes is proposed. The motivation is twofold: on the one hand a higher efficiency and flexibility in the contour evolution towards the boundaries of interest is pursued. On the other hand a higher performance and suitability for its hardware implementation onto a CNN chip-set architecture is required. To illustrate the validity of the proposal some examples and data about the computation time from the implementation of the algorithm on the 64×64 CNNUM chip have been included.
Keywords :
cellular neural nets; feature extraction; image segmentation; CNN chip-set architecture; CNNUM chip; cellular active contours; contour evolution; hardware implementation; pixel-level snakes; Active contours; Automation; Computer science; Data mining; Hardware; Laboratories; Pixel; Proposals; Shape control; Topology;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1328676