DocumentCode
2534983
Title
Object oriented image segmentation on the CNNUC3 chip
Author
Földesy, E. ; Linán, G. ; Rodriguez-Vazquez, Angel ; Espejo, S. ; Domínguez-Castro, R.
Author_Institution
Inst. de Microelectron., CSIC, Sevilla, Spain
fYear
2000
fDate
2000
Firstpage
283
Lastpage
288
Abstract
We show how a complex object oriented image analysis algorithm can be implemented on a CNNUM chip for video-coding. Besides the applied linear operations, several gray-scale nonlinear template operations are also emulated using algorithmic solutions
Keywords
CMOS integrated circuits; cellular neural nets; image segmentation; neural chips; object-oriented methods; video coding; CNNUC3 chip; algorithmic solutions; complex object oriented image analysis algorithm; gray-scale nonlinear template operations; linear operations; object oriented image segmentation; CMOS technology; Cellular neural networks; Filtering; Gray-scale; Image analysis; Image processing; Image segmentation; Low pass filters; Noise reduction; Nonlinear filters;
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.2000.876859
Filename
876859
Link To Document