Topographic cellular active contour techniques: theory, implementations and comparisons: Research Articles

Authors:
Dániel Hillier;Viktor Binzberger;David Lopez Vilariño;Csaba Rekeczky
Affiliations:
Jedlik Laboratories, Dept. of Info. Technol., Péter Pázmány Catholic Univ. and Analogical and Neural Comp. Sys. Lab., Computer and Automation Res. Inst., Hungarian Acad. of Sci., L& ...;Analogical and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences, Lágymányosi u.11, 1111 Budapest, Hungary;Department of Electronics and Computer Science, University of Santiago de Compostela, E-15782 Santiago de Compostela, Spain;Jedlik Laboratories, Dept. of Info. Technol., Péter Pázmány Catholic Univ. and Analogical and Neural Comp. Sys. Lab., Computer and Automation Res. Inst., Hungarian Acad. of Sci., L& ...
Venue:
International Journal of Circuit Theory and Applications
Year:
2006

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Abstract

This paper overviews some massively parallel topographic cellular computational approaches proposed for contour localization and tracking. When implemented on a focal plane cellular array microprocessor, these algorithms offer real-time object contour localization and tracking—even at very high frame rates. Three specific methods (Constrained Wave Computing, Pixel Level Snakes and Moving Patch Method) will be described and compared along with their associated hardware–software architectures. Computational complexity, implementation, and performance related issues are discussed on a common platform (ACE-BOX with the ACEx CNN-UM chips). In conclusion, a novel architecture is proposed incorporating the best solutions learned from this comparative study. Copyright © 2006 John Wiley & Sons, Ltd.