Paper Info
Title
An automatic bleeding detection scheme in wireless capsule endoscopy based on histogram of an RGB-indexed image.
Abstract
Wireless capsule endoscopy (WCE) is one of the most effective technologies to diagnose gastrointestinal (GI) diseases, such as bleeding in GI tract. Because of long duration of WCE video containing large number images, it is a burden for clinician to detect diseases in real time. In this paper, an automatic bleeding image detection method is proposed utilizing construction of an index image incorporating certain level of information from each plane of RGB color space. Distinguishable color texture feature is developed from index image by histogram. Support vector machine (SVM) classifier is employed to detect bleeding and non-bleeding images from WCE videos. From extensive experimentation on real time WCE video recordings, it is found that the proposed method can accurately detect bleeding images with high sensitivity and specificity.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944669
EMBC
Keywords
DocType
Volume
endoscopes,diseases,wireless capsule endoscopy,supported vector machine (svm),biomedical optical imaging,rgb color texture feature,indexed image,support vector machine classifier,wce video containing large number images,rgb-indexed image histogram,rgb color space plane,gastrointestinal disease diagnosis,feature extraction,image classification,real time wce video recordings,automatic bleeding image detection method,image texture,color histogram,bleeding detection,support vector machines,medical image processing,image colour analysis
Conference
2014
ISSN
Citations 
PageRank 
1557-170X
4
0.52
References 
Authors
3
4
Name
Order
Citations
PageRank
T Ghosh151.21
Shaikh Anowarul Fattah28222.70
Celia Shahnaz312225.95
Khan A. Wahid432738.08