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A method for extracting outline using the genetic algorithm based on factors for perceptive grouping

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1 Author(s)
Saitoh, F. ; Dept. of Comput. Sci., Ritsumeikan Univ., Kyoto, Japan

A method for extracting a global outline in a noisy image is proposed. The genetic algorithm is applied to extract a proper outline in an image which includes disconnected outline pixels and noisy pixels. Each individual in a population for the genetic algorithm has a sequence of outline pixel numbers as it genotype. The fitness of each individual is defined using factors represented by a closeness of pixels and a continuity of an outline. Individuals which have higher fitness survive to the next generation. Parents are selected in surviving individuals and their genes information is crosscovered to generate a child. Mutation is applied to improve variation of evolutionary processes. As the experimental results, the global proper outline is extracted using the evolutionary operations and rules in the genetic algorithm

Published in:

Robot and Human Communication, 1996., 5th IEEE International Workshop on

Date of Conference:

11-14 Nov 1996