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1 September 1993 Object recognition using fuzzy set theoretic techniques
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In this paper state of the art of the fuzzy logic based visual object recognition systems are discussed. One of the major objectives of the computer vision is to recognize various objects from images. Application of fuzzy logic facilitates the smooth translation of ambiguous image information into natural language which can be processed by fuzzy set theory. Various methods of fuzzy object recognition are presented. Some rule based techniques are mentioned to show the applicability of object recognition in consumer electronics. A brief summary of fusion with neural networks and genetic algorithms is given.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ashutosh Malaviya and Paritosh Malaviya "Object recognition using fuzzy set theoretic techniques", Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993);

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