@inproceedings{8a914ea77e3845d2945076374595da59,
title = "Capturing the best hyperspectral image in different lighting conditions",
abstract = "The quality of image often decides about its usability in further application. Hence, it is essential to ensure the best possible image quality at the stage of the image acquisition process. The lighting conditions are one of the most important factors affecting the quality of the obtained image. In the case of hyperspectral imaging, in comparison to standard image acquisition, selection of appropriate light sources involves additional difficulties connected with the spectral nature of the light. The article describes how the lights for such application can be selected. The proposed selection criterion is based on the accuracy of measured spectral reflectance of the object. Presented method was tested on real object and three different types of light source.",
keywords = "hyperspectral imaging, image acquisition, light sources",
author = "Andrzej Kordecki and Artur Bal",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 8th International Conference on Machine Vision, ICMV 2015 ; Conference date: 19-11-2015 Through 21-11-2015",
year = "2015",
doi = "10.1117/12.2228632",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Antanas Verikas and Petia Radeva and Dmitry Nikolaev",
booktitle = "Eighth International Conference on Machine Vision, ICMV 2015",
address = "United States",
}