KMID : 0602820120180020045
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Korean Journal of Bronchoesophagology 2012 Volume.18 No. 2 p.45 ~ p.48
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Enhancement of Endoscopic Images by RGB Channel Substitution Image Processing, a Preliminary Report
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Lee Dong-Hwan
Yang Chan-Joo Jung Hwoon-Yong Lee Jae-Ryung Nam Soo-Jung Choi Seung-Ho
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Abstract
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Background: Neoplastic vessels tend to proliferate on the surface of malignant lesions in the aerodigestive tract. So, superficial malignant lesions can be detected earlier by enhancing mucosal vascular clarity. To enhance mucosal vascular clarity on endoscopic image, we developed an image processing algorithm of RGB (red-green-blue) channel substitution image (CSI).
Methods: Each pixel in original white light image (WLI) has its own value of red, green and blue channel. Various combinations of RGB channel substitution was tried on original WLI.
Results: To make superficial blood vessels darker than brighter background mucosa, in the CSI algorithm, RGB value in each pixel of WLI is substituted; red value to green one, green value to blue one. There was a good contrast between superficial mucosal vessels and background brighter mucosa in the CSI image.
Conclusion: By RGB CSI algorithm, WLI could be successfully converted to new images with enhanced mucosal vascular clarity. Using RGB CSI algorithm could provide added vascular visibility on original WLI.
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KEYWORD
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Endoscopy, RGB channels, Substitutions
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