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.
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Vu, H. et al. (2012). Image-Enhanced Capsule Endoscopy Preserving the Original Color Tones. In: Yoshida, H., Sakas, G., Linguraru, M.G. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2011. Lecture Notes in Computer Science, vol 7029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28557-8_5
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DOI: https://doi.org/10.1007/978-3-642-28557-8_5
Publisher Name: Springer, Berlin, Heidelberg
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