Integral Scale Histogram Local Binary Patterns for Classification of Narrow-band Gastroenterology Images

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

Autores

Farhan Riaz (Autor) Outra; Mario Dinis Ribeiro (Autor) Outra; Pedro Pimentel Nunes (Autor) Outra; Miguel Tavares Coimbra (Autor) FCUP

Ata de Conferência Internacional

Título: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Páginas: 3714-3717

35th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

Osaka, JAPAN, JUL 03-07, 2013

Indexação

ISI Web of Knowledge - 6 Citações

Scopus - 7 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

Outras Informações

ID Authenticus: P-008-FPQ

DOI: 10.1109/embc.2013.6610350

Abstract (EN): The introduction of various novel imaging technologies such as narrow-band imaging have posed novel image processing challenges to the design of computer assisted decision systems. In this paper, we propose an image descriptor refered to as integrated scale histogram local binary patterns. We propagate an aggregated histogram of local binary patterns of an image at various resolutions. This results in low dimensional feature vectors for the images while incorporating their multiresolution analysis. The descriptor was used to classify gastroenterology images into four distinct groups. Results produced by the proposed descriptor exhibit around 92% accuracy for classification of gastroenteroloy images outperforming other state-of-the-art methods, endorsing the effectiveness of the proposed descriptor.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4