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2016 | OriginalPaper | Chapter

24. Image Threshold Processing Based on Simulated Annealing and OTSU Method

Authors : Yue Zhang, Hong Yan, Xiaofu Zou, Fei Tao, Lin Zhang

Published in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Publisher: Springer Berlin Heidelberg

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Abstract

This chapter analyzes Maximum between-Cluster Variance method to conduct image threshold, coming up with an optimizing searching method of image segmentation with simulated annealing optimization algorithm. This algorithm determines the optimal threshold adaptively, and has strong adaptability and good effect of image segmentation, and it can greatly reduce the computational complexity. And it is optimized by multi-threading, which improves the parallel algorithm, and speeds up the efficiency of the algorithm.

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Metadata
Title
Image Threshold Processing Based on Simulated Annealing and OTSU Method
Authors
Yue Zhang
Hong Yan
Xiaofu Zou
Fei Tao
Lin Zhang
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-48386-2_24

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