A Novel Image Processing Technique for Qualitative Discrimination of Liquids

A technique is proposed for automatic qualitative classification of liquid samples. This qualification is based on their absorption spectrum in the ultraviolet, visible and nearinfrared regions. . A simple technique based on image matching is proposed to perform pixel comparison. This alternative implementation of conventional image matching methodologies can be easily translated to hardware platforms (Embedded system). The proposed method does not make any assumption on the probability density function of the data and it is also capable of automatic outlier removal. “Spectral marks” based on the polar representation of the absorption spectra and their “optimized marks” improved by means of Radon transform have been implemented.