Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1171
Title: Signal Improvement in Imaging Type Two-Dimensional Fourier Spectroscopy for Wild-Field Internal Non-Destructive Inspection
Authors: Abeygunawardhana, P. K. W
Fujiwara, M
Suzuki, S
Ishimaru, I
Nishiyama, A
Keywords: Imaging Type
Two-Dimensional Fourier Spectroscopy
Non-Destructive Inspection
Noise Filtering
Signal Improvement
Fourier Spectroscopy
Issue Date: Jan-2015
Series/Report no.: International Journal of Pharma Medicine and Biological Sciences;Vol. 4, No. 1
Abstract: â€”Imaging type two-dimensional Fourier spectroscopy is the wave front-division interferometer which limits the measurement depth into focal plane. This method has shown the potential in many areas such as measurement of biological substances and non-destructive inspections. Presence of noise in the signal may affect the end result of test. This paper proposes the algorithm for improving spectral data by finding low noisy point and filtering them. Cross correlation with median noisy signal is used to find the best signal to be considered. Experiment was conducted for testing fingerprint, alcohol measurement and measurement of ink. Proposed algorithm was conducted for the data obtained from ink measurement.
URI: http://rda.sliit.lk/handle/123456789/1171
ISSN: 2278-5221
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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