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This article is part of the supplement: New trends in digital pathology: Proceedings of the 9th European Congress on Telepathology and 3rd International Congress on Virtual Microscopy

Open Access Proceedings

Colour model analysis for microscopic image processing

Gloria Bueno1*, Roberto González1, Oscar Déniz1, Jesús González2 and Marcial García-Rojo2

Author affiliations

1 Escuela Técnica Superior de Ingenieros Industriales, Universidad de Castilla-La Mancha, Avda. Camilo José Cela, s/n, 13071 Ciudad Real, Spain

2 Hospital General de Ciudad Real. Calle Tomelloso s/n. 13004 Ciudad Real, Spain

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Citation and License

Diagnostic Pathology 2008, 3(Suppl 1):S18  doi:10.1186/1746-1596-3-S1-S18

Published: 15 July 2008

Abstract

This article presents a comparative study between different colour models (RGB, HSI and CIEL*a*b*) applied to a 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 aspects 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.