title: Colour model analysis for microscopic image processing.
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.
authors.affiliation: Escuela Técnica Superior de Ingenieros Industriales, Universidad de Castilla-La Mancha, Avenida Camilo José Cela s/n, Ciudad Real, Spain. gloria.bueno@uclm.es
authors.forename: Gloria
authors.initials: G
authors.lastname: Bueno
authors.forename: Roberto
authors.initials: R
authors.lastname: González
authors.forename: Oscar
authors.initials: O
authors.lastname: Déniz
authors.forename: Jesús
authors.initials: J
authors.lastname: González
authors.forename: Marcial
authors.initials: M
authors.lastname: García-Rojo