Image Edge Detection Algorithm Based on The Parallel Genetic and Otsu dual-threshold

DOI

10.2991/isrme-15.2015.139How to use a DOI?

Keywords

Parallel; genetic algorithm; edge detection ;Otsu dual-threshold

Abstract

The traditional genetic algorithm is used to search some function extreme value, but it has low precision and poor stability. For this shortage, A kind of parallel genetic algorithm based on Otsu double threshold algorithm of image edge detection, the design into a line of two columns of the vector population, than as an individual's fitness variance between, generated a number of initial population of parallel computing, At the same time, the largest fitness individuals in each generation directly copied into the next generation, evolution in a number of different subgroup in parallel, in order to avoid the premature convergence phenomenon appeared in the process of single population evolution, to improve the algorithm convergence speed. The experimental results show that the algorithm is compared with the traditional genetic algorithm, can more accurate and has better accuracy and stability.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiangying Dang
AU  - Dan Li
PY  - 2015/04
DA  - 2015/04
TI  - Image Edge Detection Algorithm Based on The Parallel Genetic and Otsu dual-threshold
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 699
EP  - 702
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.139
DO  - 10.2991/isrme-15.2015.139
ID  - Dang2015/04
ER  -