Title :
Multi-processor system for polygonal object recognition by means of fuzzy algorithms
Author :
Montseny, E. ; Oliver, G. ; Sobrevilla, P.
Author_Institution :
Univ. Politecnica de Catalunya Barcelona, Spain
fDate :
30 Aug-3 Sep 1992
Abstract :
The interest in fuzzy algorithms is increasing in a wide range of pattern recognition applications. This paper describes a recognition system using fuzzy algorithms and parameters, with particular enhancement in the system architecture. This system is able to recognize flat polygonal objects in real time. The main aim of the system is to perform an object recognition based on contour description and being independent of noise and indeterminations in the digitization process. This system is made up of three modules. The first one is a break points detector. The second block performs a contour description by means of fuzzy parameters that allows us to recognize the picture in the third block
Keywords :
fuzzy logic; image recognition; pattern recognition equipment; shared memory systems; 80286 based; break points detector; contour description; flat polygonal objects; fuzzy algorithms; fuzzy parameters; pattern recognition; polygonal object recognition; real time; Detectors; Fuzzy systems; Hardware; Noise shaping; Object recognition; Pattern recognition; Real time systems; Shape; Solid modeling; Uncertainty;
Conference_Titel :
Pattern Recognition, 1992. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2925-8
DOI :
10.1109/ICPR.1992.202158