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Image Threshold Segmentation Technology Research Based on Adaptive Genetic Algorithm

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Electrical Power Systems and Computers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 99))

Abstract

On the basis of the OTSU methods study, the paper introduced adaptive genetic algorithm to optimize algorithm and achieve image segmentation. Experiment shows that the speed of the algorithm improves and the quality of segmentation is better. Lay the foundation for image recognition in the following.

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References

  1. Zheng, Y.J.: A Survey on Evaluation Methods for Image Segmentation. Pattern Recognition 29(8), 346–352 (1996)

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  5. Guo, Z., Chen, Y.Z.: Research of Threshold Methods for Image Segmentation. Journal of Communication University of China (Science and Technology) 115(2), 77–82 (2008)

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© 2011 Springer-Verlag Berlin Heidelberg

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Gu, D., Ren, Z. (2011). Image Threshold Segmentation Technology Research Based on Adaptive Genetic Algorithm. In: Wan, X. (eds) Electrical Power Systems and Computers. Lecture Notes in Electrical Engineering, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21747-0_16

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  • DOI: https://doi.org/10.1007/978-3-642-21747-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21746-3

  • Online ISBN: 978-3-642-21747-0

  • eBook Packages: EngineeringEngineering (R0)

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