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Segmentation and Recognition of E. coli Bacteria Cell in Digital Microscopic Images Based on Enhanced Particle Filtering Framework

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Emerging Research in Computing, Information, Communication and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 882))

Abstract

Image processing and pattern recognitions play an important role in biomedical image analysis. Using these techniques, one can aid biomedical experts to identify the microbial particles in electron microscopy images. So far, many algorithms and methods are proposed in the state-of-the-art literature. But still, the exact identification of region of interest in biomedical image is a research topic. In this paper, E. coli bacteria particle segmentation and classification is proposed. For the current research work, the hybrid algorithm is developed based on sequential importance sampling (SIS) framework, particle filtering, and Chan–Vese level set method. The proposed research work produces 95.50% of average classification accuracy.

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Authors and Affiliations

  1. Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India

    Manjunatha Hiremath

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  1. Manjunatha Hiremath
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Correspondence to Manjunatha Hiremath .

Editor information

Editors and Affiliations

  1. Chancellor, Central University of Karnataka, Kalaburagi, Karnataka, India

    N. R. Shetty

  2. INSA Senior Scientist, National Institute of Advanced Studies,, Bangalore, Karnataka, India

    L. M. Patnaik

  3. Principal, Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, India

    H. C. Nagaraj

  4. Professor, Nitte Meenakshi Inst of Tech, Bangalore, Karnataka, India

    Prasad Naik Hamsavath

  5. Professor, Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, India

    N. Nalini

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Hiremath, M. (2019). Segmentation and Recognition of E. coli Bacteria Cell in Digital Microscopic Images Based on Enhanced Particle Filtering Framework. In: Shetty, N., Patnaik, L., Nagaraj, H., Hamsavath, P., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Advances in Intelligent Systems and Computing, vol 882. Springer, Singapore. https://doi.org/10.1007/978-981-13-5953-8_42

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  • DOI: https://doi.org/10.1007/978-981-13-5953-8_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5952-1

  • Online ISBN: 978-981-13-5953-8

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