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Color Medical Image Analysis pp 165–180Cite as

Colour Model Analysis for Histopathology Image Processing

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 6))

Abstract

This chapter presents a comparative study among different colour models (RGB, HSI, CMYK, CIEL*a*b*, and HSD) applied to very large microscopic image analysis. Such analysis of different colour models is needed in order to carry out a successful detection and therefore a classification of different regions of interest (ROIs) within the image. This, in turn, allows both distinguishing possible ROIs and retrieving their proper colour for further ROI analysis. This analysis is not commonly done in many biomedical applications that deal with colour images. Other important aspect is the computational cost of the different processing algorithms according to the colour model. This work takes these aspects into consideration to choose the best colour model tailored to the microscopic stain and tissue type under consideration and to obtain a successful processing of the histological image.

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Acknowledgements

This work has been carried out with the support of the research projects DPI2008-06071 of the Spanish Research Ministry, PI-2010/040 of the FISCAM and PAI08-0283-9663 of JCCM. We extend our gratitude to the Department of Pathology at Hospital General Universitario de Ciudad Real for providing the tissue samples.

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Authors and Affiliations

  1. VISILAB, E.T.S.I.I, Universidad de Castilla-La Mancha, Avda. Camilo José Cela, 3, 13071, Ciudad Real, Spain

    Gloria Bueno, Oscar Déniz, Jesús Salido, M. Milagro Fernández & Noelia Vállez

  2. Dpt. Anatomía Patológica, Hospital General Universitario de Ciudad Real, C/ Obispo Rafael Torija, s/n. 13005, Ciudad Real, Spain

    Marcial García-Rojo

Authors
  1. Gloria Bueno
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  2. Oscar Déniz
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  3. Jesús Salido
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  4. M. Milagro Fernández
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  5. Noelia Vállez
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  6. Marcial García-Rojo
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Corresponding author

Correspondence to Gloria Bueno .

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Editors and Affiliations

  1. Computer Science Department, Louisiana State University Shreveport, One University Place, Shreveport, 71115, USA

    M. Emre Celebi

  2. , Department of Computer Science, Loughborough University, Epinal Way, Loughborough, LE11 3TU, United Kingdom

    Gerald Schaefer

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Bueno, G., Déniz, O., Salido, J., Milagro Fernández, M., Vállez, N., García-Rojo, M. (2013). Colour Model Analysis for Histopathology Image Processing. In: Celebi, M., Schaefer, G. (eds) Color Medical Image Analysis. Lecture Notes in Computational Vision and Biomechanics, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5389-1_9

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  • DOI: https://doi.org/10.1007/978-94-007-5389-1_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5388-4

  • Online ISBN: 978-94-007-5389-1

  • eBook Packages: EngineeringEngineering (R0)

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