Abstract
As classic segmentation method, Otus has been widely used in image field. Aiming at the problems that generally Otus two-dimensional form can not find the most optimal thresholds and need long time to calculate, the paper proposes an algorithm to lead particle swarm algorithm in the generally optimal threshold algorithm and gives the simulations results. Experimental results show that, compared with the existing algorithms, the algorithm has good segmentation effects and compute time efficiency.
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© 2012 Springer-Verlag Berlin Heidelberg
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Yi-bing, L., Ting, M., Ao, L. (2012). Two-Dimensional Otsu Image Segmentation Algorithm Based on the Particle Swarm Optimization Algorithm. In: Deng, W. (eds) Future Control and Automation. Lecture Notes in Electrical Engineering, vol 172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31006-5_14
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DOI: https://doi.org/10.1007/978-3-642-31006-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31005-8
Online ISBN: 978-3-642-31006-5
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