Steady state memetic algorithm for partial shape matching | Zendy

Ender Özcan | Zendy; Chilukuri K. Mohan | Zendy

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Steady state memetic algorithm for partial shape matching

Author(s) -

Ender Özcan,

Chilukuri K. Mohan

Publication year - 1998

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-64891-7

DOI - 10.1007/bfb0040804

Subject(s) - memetic algorithm , computer science , artificial intelligence , matching (statistics) , pattern recognition (psychology) , noise (video) , evolutionary algorithm , state (computer science) , image (mathematics) , algorithm , mathematics , statistics

. Shape matching techniques are important in machine intelligence,especially in applications such as robotics. Currently, there arethree major approaches to shape recognition: statistical, syntactic andneural approaches. This paper presents a fourth approach: evolutionaryalgorithms. A steady state memetic algorithm is shown to be successfulin matching shapes even when they are partially obscured, and even inthe presence of noise in the input image.1 IntroductionMany intelligent...

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