@ARTICLE{Isaza_César_Development_2019,
 author={Isaza, César and Mosquera, Julio M. and Gómez-Méndez, Gustavo A. and Zavala-De Paz, Jonny P. and Karina-Anaya, Ely and Rizzo-Sierra, José A. and Palillero-Sandoval, Omar},
 volume={vol. 26},
 number={No 3},
 journal={Metrology and Measurement Systems},
 pages={517–530},
 howpublished={online},
 year={2019},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 abstract={Image segmentation is a typical operation in many image analysis and computer vision applications. However, hyperspectral image segmentation is a field which have not been fully investigated. In this study an analogue- digital image segmentation technique is presented. The system uses an acousto-optic tuneable filter, and a CCD camera to capture hyperspectral images that are stored in a digital grey scale format. The data set was built considering several objects with remarkable differences in the reflectance and brightness components. In addition, the work presents a semi-supervised segmentation technique to deal with the complex problem of hyperspectral image segmentation, with its corresponding quantitative and qualitative evaluation. Particularly, the developed acousto-optic system is capable to acquire 120 frames through the whole visible light spectrum. Moreover, the analysis of the spectral images of a given object enables its segmentation using a simple subtraction operation. Experimental results showed that it is possible to segment any region of interest with a good performance rate by using the proposed analogue-digital segmentation technique.},
 type={Article},
 title={Development of an acousto-optic system for hyperspectral image segmentation},
 URL={http://www.czasopisma.pan.pl/Content/113095/PDF/06_MMS_3_INTERNET.pdf},
 doi={10.24425/mms.2019.129576},
 keywords={hyperspectral imaging, acousto-optic system, image segmentation},
}