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Nail Image Segmentation for Disease Detection

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1036))

Abstract

During modern era digital image processing in medical field is very popular concept. Number of diseases such as cancer, kidney disease, heart disease, brain haemorrhage etc. can be detected by capturing various types of images like MRI, CT Scan, PET, X-ray. Color feature of fingernail is used for disease detection. Various segmentation techniques like k-means segmentation, L*a*b color space, watershade segmentation are used to extract interested region. The segmented area used for the feature extraction and the disease can be detected.

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Author information

Authors and Affiliations

  1. Yashvantrao Chavan Institute of Science, Satara, India

    Shweta Marulkar

  2. School of Computational Sciences, Solapur University, Solapur, India

    Rajivkumar Mente

Authors
  1. Shweta Marulkar
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  2. Rajivkumar Mente
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Corresponding author

Correspondence to Shweta Marulkar .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Cite this paper

Marulkar, S., Mente, R. (2019). Nail Image Segmentation for Disease Detection. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore. https://doi.org/10.1007/978-981-13-9184-2_10

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  • DOI: https://doi.org/10.1007/978-981-13-9184-2_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9183-5

  • Online ISBN: 978-981-13-9184-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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