Genetic Algorithm Combined with Mutual Information for Image Segmentation

Abstract:

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In order to automatically determine the optimal threshold in image segmentation, this paper presented a new method of image segmentation based on improved genetic algorithm combined with mutual information; it used this improved genetic algorithm to globally optimize infrared image segmentation functions. This method could automatically adjust the parameters of genetic algorithm according to the fitness values of individuals and the decentralizing degree of individuals of the population, and kept the variety of population for rapidly converging to get the optimal thresholds in image segmentation, it overcame the shortcomings including worse convergent speed, easy to premature that exist in traditional genetic algorithm etc.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

1193-1198

DOI:

10.4028/www.scientific.net/AMR.108-111.1193

Citation:

D. J. Shi et al., "Genetic Algorithm Combined with Mutual Information for Image Segmentation", Advanced Materials Research, Vols. 108-111, pp. 1193-1198, 2010

Online since:

May 2010

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Price:

$35.00

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