Paper Info
Title
Image-Enhanced capsule endoscopy preserving the original color tones
Abstract
This paper describes a technique to enhance a region-of- interest (ROI) in a capsule endoscopy (CE) image. Our aim is to improve distinguishing suspicious regions from normal ones without over-enhancing the image. Given a ROI by physicians, the proposed technique enhances the ROI so that the enhanced region remains as natural as possible. To achieve this, we utilize image features relating to a specific color space dedicated to gastrointestinal (GI) wall regions. The proposed approach starts by utilizing a self-organizing map to handle GI wall color components. The goal of preserving the original color tones is obtainable by using a histogram equalization technique in the proposed color space. As a result, the enhanced images only contain color components inferred from the color gamut of the human small bowel. The results of the proposed method are judged in terms of visual appearance by comparison with images obtained by the conventional enhancement technique.
Year
DOI
Venue
2011
10.1007/978-3-642-28557-8_5
Abdominal imaging
Keywords
Field
DocType
color gamut,conventional enhancement technique,color component,image-enhanced capsule endoscopy,proposed color space,gi wall color component,histogram equalization technique,original color tone,specific color space
Computer vision,Gamut,Color space,Feature (computer vision),Self-organizing map,Artificial intelligence,Radiology,Capsule endoscopy,Histogram equalization,Medicine,Visual appearance
Conference
Citations 
PageRank 
References 
1
0.36
6
Authors
7
Name
Order
Citations
PageRank
Hai Vu19314.96
Tomio Echigo234825.41
Keiko Yagi3374.29
Hirotoshi Okazaki411.04
Yasuhiro Fujiwara511.04
Yasushi Yagi61752186.22
Tetsuo Arakawa7466.93