IJCEE 2016 Vol.8(3): 227-233 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2016.8.3.227-233
DOI: 10.17706/IJCEE.2016.8.3.227-233
Colorimetric Matching for Medical Cameras
Jiyoung Yoon, Cheolhwan Kim, Shihyun Ahn
Abstract—While medical equipment and IT technology advances, doctors make medical surgery using
input images through cameras. They use an optical microscope or an endoscope equipped with
cameras. These systems display expanded images on a monitor for the required surgical sites. It is
important to display almost the same color as the actual view, in case of making surgery or observing it.
If monitors display wrong color, doctors cannot accurately recognize the surgical site and have difficulty
to make a surgery, and surgery observers cannot get accurate information of the surgical site. In this
paper, we proposed the characterization method for medical cameras using with the ColorChecker that
is commonly used to calibrate cameras and additional color values on actual surgical site. It makes the
estimated coefficient through polynomial regression. It can show surgical scenes to users more
precisely.
Index Terms—Colorimetric matching, medical camera, camera characterization, CIELAB, coefficient estimation.
The authors are with Kyungpook National University, Daegu Republic of Korea.
Index Terms—Colorimetric matching, medical camera, camera characterization, CIELAB, coefficient estimation.
The authors are with Kyungpook National University, Daegu Republic of Korea.
Cite:Jiyoung Yoon, Cheolhwan Kim, Shihyun Ahn, "Colorimetric Matching for Medical Cameras," International Journal of Computer and Electrical Engineering vol. 8, no. 3, pp. 227-233, 2016.
General Information
ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
DOI: 10.17706/IJCEE
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: INSPEC, Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org
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