Automatic lane segmentation in TLC images using the continuous wavelet transform

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

António Sousa (Autor) FEUP; Aurélio Campilho (Autor) FEUP; Ana Maria Mendonça (Autor) FEUP; Bruno Moreira (Autor) FEUP

Revista

Título: Computational and Mathematical Methods in Medicine

Vol. 2013

Páginas: 218415:1-218415:19

ISSN: 1748-670X

Editora: Hindawi

Indexação

ISI Web of Knowledge - 4 Citações

ISI Web of Science

Scopus - 4 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia biomédica

Outras Informações

ID Authenticus: P-006-FN6

DOI: 10.1155/2013/218415

Abstract (EN): This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: art. no. 218415

Nº de páginas: 19