Abstract
An algorithm to determine the abscissa of the partial pixels that corresponds to the peaks of an absorbance spectrum from a hyperspectral imaging camera will be described. The algorithm is based on local linear regression models in variable order and variable sample size mode. The sample size is determined by using the estimated critical points and inflection points. The order is determined by statistically comparing the sum of squares error of the regression models for different orders. Numerical results on spectra from a hyperspectral cube will be presented.