Improving the image discontinuous problem by using color temperature mapping method

Wei-De Jeng; Ou-Yang Mang; Chien-Cheng Lai; Hsien-Ming Wu

doi:10.1117/12.895332

24 September 2011 Improving the image discontinuous problem by using color temperature mapping method

Wei-De Jeng, Ou-Yang Mang, Chien-Cheng Lai, Hsien-Ming Wu

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 813515 (2011) https://doi.org/10.1117/12.895332
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Wei-De Jeng, Ou-Yang Mang, Chien-Cheng Lai, and Hsien-Ming Wu "Improving the image discontinuous problem by using color temperature mapping method", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813515 (24 September 2011); https://doi.org/10.1117/12.895332

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