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Proceedings Paper

Automated model-based calibration of imaging spectrographs
Author(s): Matjaž Kosec; Miran Bürmen; Dejan Tomaževič; Franjo Pernuš; Boštjan Likar
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Paper Abstract

Hyper-spectral imaging has gained recognition as an important non-invasive research tool in the field of biomedicine. Among the variety of available hyperspectral imaging systems, systems comprising an imaging spectrograph, lens, wideband illumination source and a corresponding camera stand out for the short acquisition time and good signal to noise ratio. The individual images acquired by imaging spectrograph-based systems contain full spectral information along one spatial dimension. Due to the imperfections in the camera lens and in particular the optical components of the imaging spectrograph, the acquired images are subjected to spatial and spectral distortions, resulting in scene dependent nonlinear spectral degradations and spatial misalignments which need to be corrected. However, the existing correction methods require complex calibration setups and a tedious manual involvement, therefore, the correction of the distortions is often neglected. Such simplified approach can lead to significant errors in the analysis of the acquired hyperspectral images. In this paper, we present a novel fully automated method for correction of the geometric and spectral distortions in the acquired images. The method is based on automated non-rigid registration of the reference and acquired images corresponding to the proposed calibration object incorporating standardized spatial and spectral information. The obtained transformation was successfully used for sub-pixel correction of various hyperspectral images, resulting in significant improvement of the spectral and spatial alignment. It was found that the proposed calibration is highly accurate and suitable for routine use in applications involving either diffuse reflectance or transmittance measurement setups.

Paper Details

Date Published: 28 February 2012
PDF: 6 pages
Proc. SPIE 8215, Design and Quality for Biomedical Technologies V, 82150A (28 February 2012); doi: 10.1117/12.907780
Show Author Affiliations
Matjaž Kosec, Sensum Computer Vision Systems (Slovenia)
Miran Bürmen, Univ. of Ljubljana (Slovenia)
Dejan Tomaževič, Sensum Computer Vision Systems (Slovenia)
Univ. of Ljubljana (Slovenia)
Franjo Pernuš, Sensum Computer Vision Systems (Slovenia)
Univ. of Ljubljana (Slovenia)
Boštjan Likar, Sensum Computer Vision Systems (Slovenia)
Univ. of Ljubljana (Slovenia)


Published in SPIE Proceedings Vol. 8215:
Design and Quality for Biomedical Technologies V
Ramesh Raghavachari; Rongguang Liang, Editor(s)

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