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Biomedical Color Image Segmentation through Precise Seed Selection in Fuzzy Clustering

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Book cover Engineering Applications of Neural Networks (EANN 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 311))

Abstract

Biomedical color images play major role in medical diagnosis. Often a change of state is identified through minute variations in color at tiny parts. Fuzzy C-means (FCM) clustering is suitable for pixel classification to isolate those parts but its success is heavily dependent on the selection of seed clusters. This paper presents a simple but effective technique to generate seed clusters resembling the image features. The HSI color model is selected for near-zero correlation among components. The approach has been tested on several cell images having low contrast at adjacent parts. Results of segmentation show its effectiveness.

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Author information

Authors and Affiliations

  1. Department of Computer & System Sciences, Visva-Bharati University, Santiniketan, 731 235, West Bengal, India

    Byomkesh Mandal & Balaram Bhattacharyya

Authors
  1. Byomkesh Mandal
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  2. Balaram Bhattacharyya
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Editor information

Editors and Affiliations

  1. Coventry University, Priory Street,, CV1 5FB, Coventry, UK

    Chrisina Jayne

  2. University of Lincoln, LN6 7TS, Lincoln, UK

    Shigang Yue

  3. University of Thrace, 193 Pandazidou st., 68200 N, Orestiada, Greece

    Lazaros Iliadis

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© 2012 Springer-Verlag Berlin Heidelberg

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Mandal, B., Bhattacharyya, B. (2012). Biomedical Color Image Segmentation through Precise Seed Selection in Fuzzy Clustering. In: Jayne, C., Yue, S., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2012. Communications in Computer and Information Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32909-8_49

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  • DOI: https://doi.org/10.1007/978-3-642-32909-8_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32908-1

  • Online ISBN: 978-3-642-32909-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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