Classification-Based Segmentation of the Region of Interest in Chromatographic Images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Antonio V Sousa (Autor) Outra; Ana Maria Mendonca (Autor) FEUP; Clara C Sa Miranda (Autor) Outra; Aurelio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: Image Analysis and Recognition

Páginas: 68-78

8th International Conference, ICIAR 2011

Burnaby, BC, Canada, June 22-24, 2011

Indexação

ISI Proceedings

ISI Web of Knowledge - 2 Citações

Scopus - 3 Citações

Classificação Científica

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

Outras Informações

ID Authenticus: P-002-WYR

DOI: 10.1007/978-3-642-21596-4_8

Abstract (EN): This paper proposes a classification-based method for automating the segmentation of the region of interest (ROI) in digital images of chromatographic plates. Image segmentation is performed in two phases. In the first phase an unsupervised learning method classifies the image pixels into three classes: frame, ROI or unknown. In the second phase, distance features calculated for the members of the three classes are used for deciding on the new label, ROI or frame, for each individual connected segment previously classified as unknown. The segmentation result is post-processed using a sequence of morphological operators beforeobtaining the final ROI rectangular area. The proposed methodology, which is the initial step for the development of a screening tool for Fabry disease, was successfully evaluated in a dataset of 58 chromatographic images.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11