2D Otsu image segmentation based on cellular genetic algorithm

Aiming at the problem that traditional 2D Otsu has the large calculation and long computation time, a two-dimensional Otsu image segmentation method based on the cellular genetic algorithm is proposed. By using cellular genetic algorithm to optimize and avoid the characteristics of local optimizatio...

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Bibliographic Details
Published in2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN) pp. 1313 - 1316
Main Authors Hanmin Ye, Shili Yan, Peiliang Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2017
Subjects
Cellular Genetic Algorithm (CGA)
Genetic algorithms
Genetics
Histograms
Image segmentation
Sociology
Two dimensional displays
two-dimensional Otsu (2D Otsu)
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Summary:Aiming at the problem that traditional 2D Otsu has the large calculation and long computation time, a two-dimensional Otsu image segmentation method based on the cellular genetic algorithm is proposed. By using cellular genetic algorithm to optimize and avoid the characteristics of local optimization, calculating threshold segmentation point of the two-dimensional Otsu image segmentation, and then segmenting the image. The experimental results show that the new algorithm has the advantages of fast segmentation speed, strong anti - noise ability, and can segment the target accurately.
ISSN:2472-8489
DOI:10.1109/ICCSN.2017.8230322