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Segmentation and Assessment of Leukocytes Using Entropy-Based Procedure

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Intelligent Data Engineering and Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1177))

Abstract

Image evaluation plays a necessary dependability in medical discipline to support the sickness inspection. In this work, the assessment of White Blood Cell (WBC) is performed by using the Digital-Microscope-Pictures (DMP) of thin blood smears. In this study, a soft-computing procedure; Chaotic Firefly Algorithm and Kapur’s Entropy (CFA + KE) focused bi-level threshold is considered to improve the test picture. Further, Distance Regularized Level Set (DRLS) Segmentation is considered to mine the WBC region. Later, the mined WBC region is then evaluated with the expert’s Ground Truth (GT), and the well-known Picture-Quality-Parameters (PQP) is computed to substantiate the exactness of the proposed process. The experimental examination is implemented using the benchmark LISC images, and the results confirm that the proposed procedure helps to accomplish better values of PQP (average value >88%).

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Author information

Authors and Affiliations

  1. Department of Electronics and Instrumentation, St. Joseph’s College of Engineering, Chennai, 600119, Tamil Nadu, India

    S. Manasi, M. Ramyaa & N. Sri Madhava Raja

  2. Department of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Madagadipet, Puducherry, India

    S. Arunmozhi

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to Be University), Bhubaneswar, 751024, Odisha, India

    Suresh Chandra Satapathy

Authors
  1. S. Manasi
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  2. M. Ramyaa
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  3. N. Sri Madhava Raja
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  4. S. Arunmozhi
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  5. Suresh Chandra Satapathy
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Corresponding author

Correspondence to N. Sri Madhava Raja .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute Industrial Technology, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  3. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  4. School of Management, National Institute of Technology Karnataka, Surathkal, Karnataka, India

    Ritanjali Majhi

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Manasi, S., Ramyaa, M., Sri Madhava Raja, N., Arunmozhi, S., Satapathy, S.C. (2021). Segmentation and Assessment of Leukocytes Using Entropy-Based Procedure. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_67

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