@inproceedings{eb6f9086f3e7496a8b6b763468dc0d16,
title = "An efficient computer-aided hyperspectral imaging system and its biomedical applications",
abstract = "Hyperspectral imaging has been dramatically developed and used for biomedical analysis which can help doctors or researchers with diagnosis of various diseases. This paper presents a fully automatic system for hyperspectral image capture and preprocessing. The system is composed of two parts, the hardware building and the software programming. In order to get more useful information, users can adjust parameters, such as exposure time, operational state of the Charge-coupled Device (CCD) camera, etc. The related parameters can be modified through the software before image capture conveniently. The system allow users to do preprocessing for the acquired images, and the influences of external environment on images can be eliminated. To evaluate the performance of the new system, various images acquired under different parameters settings are showed in this paper. One of the most proper CCD parameters settings is presented in the discussion section to reduce time consumption.",
author = "Y. Zhang and Q. Li and H. Liu and Y. Wang and J. Zhu",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; International Symposium on Information Technology, ISIT 2014 ; Conference date: 14-10-2014 Through 16-10-2014",
year = "2015",
doi = "10.1201/b18776-26",
language = "英语",
isbn = "9781138027855",
series = "Proceedings of the 2014 International Symposium on Information Technology, ISIT 2014",
publisher = "CRC Press/Balkema",
pages = "131--136",
editor = "Yi Wan and Liangshan Shao and Jinguang Sun and Jingchang Nan and Quangui Zhang and Lipo Wang",
booktitle = "Proceedings of the 2014 International Symposium on Information Technology, ISIT 2014",
}