AUTOMATED IMAGE BACKGROUND REMOVAL IN LINE-IMAGING RAMAN-SPECTROSCOPY

Several automated image background removal schemes for use with line-i maging Raman spectroscopy are compared. An image of electrodeposited b eta-CuSCN produced by line-imaging Raman spectroscopy (one spectral di mension, one spatial dimension) is background-corrected by the adapted Pearson's method (APM), a Fourier filtering method, and the mathemati cal morphology method of the rolling cylinder. APM is shown to perform best overall, but is the most computationally taxing because of the i terative nature of the algorithm. The effects of the APM parameters ar e discussed.