On the effects of de-interlacing on the classification accuracy of interlaced endoscopic videos with indication for celiac disease

Author

Hegenbart, Sebastian ; Uhl, Andreas ; Wimmer, G. ; Vecsei, Andreas

Author_Institution

Dept. of Comput. Sci., Salzburg Univ., Salzburg, Austria

fYear

2013

fDate

20-22 June 2013

Firstpage

137

Lastpage

142

Abstract

Interlaced scanning is a technique that has been widely in use to double the perceived frame rate without increasing the used bandwidth. Interlaced scanning is still in use by endoscopic video hardware today. Towards the development of an automated decision support system we focus on the evaluation of the impact of de-interlacing techniques on the accuracy of automated classification of endoscopic video data with indication for celiac disease. In a large experimental setup a variety of de-interlacing methods are evaluated using a set of feature extraction methods from the fields of pattern recognition and medical image analysis.

Keywords

biomedical optical imaging; decision support systems; diseases; endoscopes; feature extraction; image classification; medical image processing; video signal processing; automated classification accuracy; automated decision support system; celiac disease indication; deinterlacing effects; endoscopic video data; endoscopic video hardware; feature extraction methods; interlaced endoscopic videos; interlaced scanning; medical image analysis; pattern recognition; perceived frame rate; Accuracy; Diseases; Feature extraction; Interpolation; Vectors; Video sequences; Videos;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on

Conference_Location

Porto

Type

conf

DOI

10.1109/CBMS.2013.6627778

Filename

6627778