Colour Model Analysis for Histopathology Image Processing

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


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.


Colour Model Optical Density Histological Image Whole Slide Imaging Bismarck Brown 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



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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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.VISILAB, E.T.S.I.IUniversidad de Castilla-La ManchaCiudad RealSpain
  2. 2.Dpt. Anatomía PatológicaHospital General Universitario de Ciudad RealCiudad RealSpain

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