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Detection of Malaria Parasite Based on Thick and Thin Blood Smear Images Using Local Binary Pattern

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Computing, Communication and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 810))

Abstract

Malaria is one of the dangerous diseases transmitted by a female Anopheles mosquito through parasites. Parasite is a type of microorganism. Microscopic examination of blood samples helps to diagnose malaria automatically and faster. It also reduces the time and human errors. This paper aims to experiment and analyze quickly the accurate number of malaria parasites using image processing techniques. Local binary pattern (LBP) technique is used to classify blood smear into thin and thick blood smears. Morphological operations and k-means clustering techniques along with intensity profiles within the cells are used to count infected cells. The experiments are performed over standard datasets using segmentation and morphological operations for thick and thin blood smear images. The performance of the proposed algorithm is evaluated using confusion matrix. The results are compared using sensitivity and specificity. This method proves to be much effective in terms of time considering large rural areas in India.

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Acknowledgements

Authors would like to thank Mr. Parikshit Shembekar, Mr. Niraj Yadav, Mr. Jayajith Jayaprakash, and Mr. Mohammed Shaikh for their help during the implementation of research work.

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Authors and Affiliations

  1. Pillai College of Engineering, Panvel, Navi Mumbai, India

    Satishkumar L. Varma

  2. Don Bosco Institute of Technology, Kurla (W), Mumbai, India

    Satishkumar S. Chavan

Authors
  1. Satishkumar L. Varma
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  2. Satishkumar S. Chavan
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Corresponding author

Correspondence to Satishkumar S. Chavan .

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Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, India

    Brijesh Iyer

  2. Department of Electronics and Telecommunication Engineering, Dr. Babasaheb Ambedkar Technological University, Lonere, Raigad, Maharashtra, India

    S.L. Nalbalwar

  3. Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Nagendra Prasad Pathak

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Varma, S.L., Chavan, S.S. (2019). Detection of Malaria Parasite Based on Thick and Thin Blood Smear Images Using Local Binary Pattern. In: Iyer, B., Nalbalwar, S., Pathak, N. (eds) Computing, Communication and Signal Processing . Advances in Intelligent Systems and Computing, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-13-1513-8_98

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  • DOI: https://doi.org/10.1007/978-981-13-1513-8_98

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1512-1

  • Online ISBN: 978-981-13-1513-8

  • eBook Packages: EngineeringEngineering (R0)

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