DocumentCode :
2541185
Title :
A DTCNN circuit proposal for pixel-level snakes
Author :
Brea, V.M. ; Vilarino, D.L. ; Cabello, D.
Author_Institution :
Dept. de Electron. e Comput., Santiago de Compostela Univ., Spain
fYear :
2000
fDate :
2000
Firstpage :
425
Lastpage :
430
Abstract :
A VHDL description of a DTCNN circuit for pixel-level snakes is given. This is the first of successive steps in a top-down design flow towards a final physical implementation. The complexity of the application leads us to make use of a multilayer DTCNN with cyclic time variable cloning templates. In order to make a feasible physical implementation, the basic concepts of the CNN Universal Machine (CNNUM) have been adopted: distributed memory and programming templates. In addition, some other approaches like the use of 2Q multipliers are followed. The validity of the proposed structure is illustrated by simulations of a 9×9 network
Keywords :
cellular neural nets; hardware description languages; image segmentation; neural chips; 2Q multipliers; 9×9 network; CNN Universal Machine; DTCNN circuit; cyclic time variable cloning templates; pixel-level snakes; programming templates; top-down design flow; Active contours; Cellular neural networks; Circuits; Force control; Image segmentation; Nonhomogeneous media; Parallel processing; Pixel; Proposals; Turing machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
Type :
conf
DOI :
10.1109/CNNA.2000.877366
Filename :
877366
Link To Document :
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