Lane Background Removal for the Classification of Thin-Layer Chromatography Images Moreira,BM en Sousa,AV en Ana Maria Mendonça en Aurélio Campilho en 2018-01-13T18:36:19Z 2018-01-13T18:36:19Z 2013 en
dc.description.abstract 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. en
dc.identifier.uri en
dc.language eng en
dc.relation 6381 en
dc.relation 6071 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Lane Background Removal for the Classification of Thin-Layer Chromatography Images en
dc.type conferenceObject en
dc.type Publication en
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