Lane Background Removal for the Classification of Thin-Layer Chromatography Images

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

Autores

Bruno Moreira (Autor) FEUP; António Sousa (Autor) FEUP; Ana Maria Mendonca (Autor) FEUP; Aurelio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: IMAGE ANALYSIS AND RECOGNITION

Páginas: 556-564

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

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

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia

Outras Informações

ID Authenticus: P-008-E9Y

DOI: 10.1007/978-3-642-39094-4_63

Abstract (EN): This paper describes a methodology to remove the background of the lanes in Thin Layer Chromatography (TLC) images, aiming at improving band detection and classification. The storage of the biological samples to be analyzed by TLC is usually done via plastic containers. Filter paper is an alternative that allows reduced costs and higher portability, but it increases the complexity of the image analysis stage due to lane background alteration. In order to overcome this problem, a negative control lane is included in every chromatographic plate. After image preprocessing and lane detection stages, a background profile is generated by processing the negative control lane using the Discrete Wavelet Transform (DWT). This profile is then subtracted to the profiles of all other sample lanes in order to overcome the data degradation introduced by filter paper usage. For assessing the proposed background removal process, 105 TLC lanes, with and without background, were used as input for three one-class classifiers. In all cases, the best results were achieved for the lanes after background removal.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9