A curvature-based multiresolution automatic karyotyping system

Authors:
Cristina Urdiales García;Antonio Bandera Rubio;Fabián Arrebola Pérez;Francisco Sandoval Hernández
Affiliations:
Departamento Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071 Málaga, Spain;Departamento Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071 Málaga, Spain;Departamento Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071 Málaga, Spain;Departamento Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071 Málaga, Spain
Venue:
Machine Vision and Applications
Year:
2003

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Abstract

This paper presents a method to segment, characterise and pair a set of chromosomes in a cell of an eukaryotic organism. This method yields several new features: (i) chromosomes are captured at non-uniform resolution to minimise the problem instance; (ii) segmentation is adaptively conducted by means of a hierarchical structure in a fast way; (iii) the curvature of each chromosome is studied at high resolution by means of attentive steps; (iv) a very short and uncorrelated feature vector is extracted from curvature by analysing its spectral components; and (v) a multistage benchmark classifier is used to pair chromosomes according to shape and banding. The method has been tested with publicly available databases. Results were successfully compared to manual karyotypes.