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

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 numbe...

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Bibliographic Details
Published inProceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN'96 TSUKUBA pp. 364 - 369
Main Author Saitoh, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Computer science
Data mining
Genetic algorithms
Genetic mutations
Humans
Image recognition
Joining processes
Noise shaping
Pixel
Shape
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Summary: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.
ISBN:9780780332539
0780332539
DOI:10.1109/ROMAN.1996.568864