MPEG-7 visual descriptors - Contributions for automated feature extraction in capsule endoscopy

• Type: Article in International Scientific Journal
• Date: 2006

Authors

Coimbra, MT (Author) FCUP; Cunha, JPS (Author) Other

Journal

Title: IEEE Transactions on Circuits and Systems for Video Technology

Vol. 16

Pages: 628-637

ISSN: 1051-8215

Publisher: IEEE

Indexing

ISI Web of Knowledge - 128 Citations

Scopus - 161 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-004-KYD

DOI: 10.1109/tcsvt.2006.873158

Abstract (EN): Recent advances in miniaturization led to the development of what is now called the endoscopic capsule. This small device is swallowed by a patient ana films the whole gastrointestinal tract, allowing the detection of abnormalities. Currently, a doctor typically needs up to two hours to analyze a full exam, so automation is desirable. This paper presents a methodology for measuring the potential of selected visual MPEG-7 descriptors for the task of specific medical event detection such as blood, ulcers. Experiments show that the best results are obtained by the Scalable Color and Homogenous Texture descriptors, especially if only relevant coefficients are used.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10