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Proceedings Paper

Improving the image discontinuous problem by using color temperature mapping method
Author(s): Wei-De Jeng; Ou-Yang Mang; Chien-Cheng Lai; Hsien-Ming Wu
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Paper Abstract

This article mainly focuses on image processing of radial imaging capsule endoscope (RICE). First, it used the radial imaging capsule endoscope (RICE) to take the images, the experimental used a piggy to get the intestines and captured the images, but the images captured by RICE were blurred due to the RICE has aberration problems in the image center and lower light uniformity affect the image quality. To solve the problems, image processing can use to improve it. Therefore, the images captured by different time can use Person correlation coefficient algorithm to connect all the images, and using the color temperature mapping way to improve the discontinuous problem in the connection region.

Paper Details

Date Published: 24 September 2011
PDF: 4 pages
Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813515 (24 September 2011); doi: 10.1117/12.895332
Show Author Affiliations
Wei-De Jeng, National Chiao Tung Univ. (Taiwan)
Ou-Yang Mang, National Chiao Tung Univ. (Taiwan)
Chien-Cheng Lai, National Chiao Tung Univ. (Taiwan)
Hsien-Ming Wu, Chung-Shan Institute of Science and Technology (Taiwan)

Published in SPIE Proceedings Vol. 8135:
Applications of Digital Image Processing XXXIV
Andrew G. Tescher, Editor(s)

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