| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 847977 | Optik - International Journal for Light and Electron Optics | 2016 | 6 Pages |
Abstract
In this paper, aiming at solving the problem arising from the application of the two-dimensional entropy method in double threshold segmentation, which is time-consuming and highly complex, the author introduces the parallel genetic simulated annealing algorithm to optimize it. Besides, the author structures parallel genetic simulated annealing algorithm to search for a two-dimensional maximum entropy value of the optimal threshold. This optimized algorithm shortens the calculation time, accelerates the speed of obtaining the optimal threshold and improves the efficiency of image segmentation.
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Authors
Lang He, Xiaxia Yu, Zhangcan Huang, Ahmed Mahgoub Ahmed Talab,