Correction of Geometrical Distortions in Bands of Chromatography Images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Bruno M Moreira (Autor) Outra; Antonio V Sousa (Autor) Outra; Ana Maria Mendonca (Autor) FEUP; Aurelio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION

Páginas: 274-281

10th International Conference on Image Analysis and Recognition (ICIAR)

Pvoa do Varzim, PORTUGAL, JUN 26-28, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-008-EAC

DOI: 10.1007/978-3-642-39094-4_31

Abstract (EN): This paper presents a methodology for correcting band distortions in Thin-Layer Chromatography (TLC) images. After the segmentation of image lanes, the intensity profile of each lane column is spatially aligned with a reference profile using a modified version of the Correlation Optimized Warping (COW) algorithm. As the initial partition of the profile into equal length segments proposed by COW can result in the separation of a single band between two segments to be disjointedly aligned, in the proposed method the warping function is only applied to selected profile regions containing groups of adjacent bands. The proposed band correction methodology was assessed using 105 profiles of 105 TLC lanes. A set of features for band characterization was extracted from each lane profile, before and after band distortion correction, and was used as input for three distinct one-class classifiers aiming at band identification. In all cases, the best results of band classification were obtained for the set lanes after band distortion correction.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8