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Extraction of Leukocyte Section from Digital Microscopy Picture with Image Processing Method

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Intelligent Data Engineering and Analytics

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

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Abstract

Appraisal of leukocyte sections is essential to predict the disease in humans. The increase in the leukocyte indirectly represents the disease in humans. This work proposes a methodology to extract the various leukocyte segments from the Microscopic Blood Smear (MBS) image with better accuracy. This work implemented an entropy assisted thresholding and morphology based segmentation to mine the segment. The threshold is executed with the Kapur’s function with a Social Group Optimization (SGO). The mining of leukocyte is done with morphological extraction. The mined segment is then compared against the ground-truth (GT) and the performance metrics are then computed. Further, a confusion matrix is also constructed to confirm the performance of the proposed technique. In this analysis, the benchmark images of Leukocyte Images for Segmentation and Classification (LISC) is considered and the attained outcomes are authenticated with existing similar results in literature. The experimental outcome confirms that, proposed technique is efficient in extracting all the five leukocytes from the LISC catalog with improved image quality parameters. This confirms that, proposed system can be used to examine the clinical rank pictures in future.

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Authors and Affiliations

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

    R. Dellecta Jessy Rashmi & V. Rajinikanth

  2. Department of Computer and Mathematical Sciences, University of Houston, Downtown, TX, 77002, USA

    Hong Lin

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

    Suresh Chandra Satapathy

Authors
  1. R. Dellecta Jessy Rashmi
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  2. V. Rajinikanth
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  3. Hong Lin
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  4. Suresh Chandra Satapathy
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Corresponding author

Correspondence to V. Rajinikanth .

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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Dellecta Jessy Rashmi, R., Rajinikanth, V., Lin, H., Satapathy, S.C. (2021). Extraction of Leukocyte Section from Digital Microscopy Picture with Image Processing Method. 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_64

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