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

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Farhan Riaz (Author) Other; Mario Dinis Ribeiro (Author) Other; Pedro Pimentel Nunes (Author) Other; Miguel Tavares Coimbra (Author) FCUP

Conference proceedings International

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

Pages: 3714-3717

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

Osaka, JAPAN, JUL 03-07, 2013

Indexing

ISI Web of Knowledge - 6 Citations

Scopus - 7 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4