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- Title
DEVELOPMENT OF AN ACOUSTO-OPTIC SYSTEM FOR HYPERSPECTRAL IMAGE SEGMENTATION.
- Authors
Isaza, César; Mosquera, Julio M.; Gómez-Méndez, Gustavo A.; Zavala-De Paz, Jonny P.; Karina-Anaya, Ely; Rizzo-Sierra, José A.; Palillero-Sandoval, Omar
- 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.
- Subjects
IMAGE analysis; HYPERSPECTRAL imaging systems; COMPUTER vision; SYSTEMS development; CCD cameras; SPECTRAL imaging; IMAGE segmentation
- Publication
Metrology & Measurement Systems, 2019, Vol 26, Issue 3, p517
- ISSN
2080-9050
- Publication type
Article
- DOI
10.24425/mms.2019.129576