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Image Processing of Natural Calamity Images Using Healthy Bacteria Foraging Optimization Algorithm

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 380))

Abstract

The digital Image processing has emerged as an effective tool for analyzing the digital images of various fields and applications of engineering. Threshold technique is the most useful and well known among segmentation methods because of its robustness, simplicity, and high precision. This paper is an attempt to make an efficient segmentation Natural calamity images by Healthy Bacteria Foraging Optimization Algorithm.

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Correspondence to P. Lakshmi Devi .

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Lakshmi Devi, P., Varadarajan, S. (2016). Image Processing of Natural Calamity Images Using Healthy Bacteria Foraging Optimization Algorithm. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 380. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_49

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  • DOI: https://doi.org/10.1007/978-81-322-2523-2_49

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2522-5

  • Online ISBN: 978-81-322-2523-2

  • eBook Packages: EngineeringEngineering (R0)

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