Compressed Domain Topographic Classification for Capsule Endoscopy

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Marques, N (Author) Other; Dias, E (Author) Other; Cunha, JPS (Author) FEUP; Coimbra, M (Author) FCUP

Conference proceedings International

Title: 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Pages: 6631-6634

33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)

Boston, MA, AUG 30-SEP 03, 2011

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology > Environmental biotechnology

Other information

Authenticus ID: P-002-WXF

DOI: 10.1109/iembs.2011.6091635

Abstract (EN): In this paper we compare the classification accuracy of using compressed domain color (CDC) descriptors versus traditional full decoded images, for the purposes of topographic classification of wireless capsule endoscopy images. Results using a dataset of 26469 images, divided into stomach, small intestine and large intestine show a difference in classification accuracy below 1%. We also show that errors are mostly located near zone transitions (the pylorus and the ileocecal valve) and motivate the need for other visual descriptors (e. g. shape, motion) for addressing these specific areas. We conclude we can use the advantages of CDC in this type of classification with minor accuracy sacrifice.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4