Signal Improvement in Imaging Type Two- Dimensional Fourier Spectroscopy for Wild-Field Internal Non-Destructive Inspection
Pradeep K. W. Abeygunawardhana1, Masaru Fujiwara1, Satoru Suzuki1, Ichirou Ishimaru1 and Akira Nishiyama2
1 Faculty of Engineering/Kagawa University, Takamatsu, Japan
2 Faculty of Medicine/Kagawa University, Takamatsu, Japan
2 Faculty of Medicine/Kagawa University, Takamatsu, Japan
Abstract—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.
Index Terms—Imaging Type Two-Dimensional Fourier Spectroscopy, Non-Destructive Inspection, Noise Filtering
Cite: Pradeep K. W. Abeygunawardhana, Masaru Fujiwara, Satoru Suzuki, Akira Nishiyama and Ichirou Ishimaru, "Signal Improvement in Imaging Type Two- Dimensional Fourier Spectroscopy for Wild-Field Internal Non-Destructive Inspection," International Journal of Pharma Medicine and Biological Sciences, Vol. 4, No. 1, pp. 70-74, January 2015.