A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
Self-Organizing Maps
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Color Analysis for Segmenting Digestive Organs in VCE
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Multichannel techniques in color image enhancement and modeling
IEEE Transactions on Image Processing
Hue-preserving color image enhancement without gamut problem
IEEE Transactions on Image Processing
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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.