Improving the image discontinuous problem by using color temperature mapping method

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXIV
DOIs
StatePublished - 31 Oct 2011
EventApplications of Digital Image Processing XXXIV - San Diego, CA, United States
Duration: 22 Aug 201124 Aug 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8185
ISSN (Print)0277-786X

Conference

ConferenceApplications of Digital Image Processing XXXIV
CountryUnited States
CitySan Diego, CA
Period22/08/1124/08/11

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  • Cite this

    Jeng, W. D., Ou, Y-M., Lai, C. C., & Wu, H. M. (2011). Improving the image discontinuous problem by using color temperature mapping method. In Applications of Digital Image Processing XXXIV [813515] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8185). https://doi.org/10.1117/12.895332