DocumentCode :
301526
Title :
3-D polyhedral object recognition using fuzzy indicators
Author :
Ayala-Ramirez, V. ; Jaime-Rivas, Rae ; Pineda-Castillo, Jose
Author_Institution :
FIMEE, Univ. de Guanajuato, Salamanca, Mexico
Volume :
2
fYear :
1995
fDate :
22-25 Oct 1995
Firstpage :
1873
Abstract :
Fuzzy logic has been used during the past years for determination and analysis of visual properties and spatial relations in object regions, a fundamental key for the object recognition problem. Here we present a method which quantifies the number of sides of each region of an object of a light intensity image, a measurement that can be used as a helpful aid to identify objects. We add this new property, the fuzzy number of sides, to other fuzzy measurements commonly used in object identification, such as area, diameter, roundness, and elongatedness, and we obtain a useful improvement in reliability for object recognition
Keywords :
computer vision; fuzzy logic; fuzzy set theory; object recognition; stereo image processing; 3D polyhedral object recognition; elongatedness; fuzzy indicators; fuzzy logic; fuzzy number; light intensity image; roundness; spatial relations; Area measurement; Character recognition; Fuzzy logic; Fuzzy systems; Humans; Image segmentation; Mathematical model; Object recognition; Shape; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
Type :
conf
DOI :
10.1109/ICSMC.1995.538048
Filename :
538048
Link To Document :
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