Proper Spectral Band Adjustment For Coloristic Feature-Based Recognition Of Safety Signs

The development of multispectral and hyperspectral systems in the area of civil security have created new opportunities with regard to mobile sampling as well as rapid detection for on-site analysis. The latest developments, especially in the area of optical detectors, and the constant improvements to microprocessor computing capacity, have had an enormous influence on coloristic analysis methods. Ongoing optimization of multispectral systems is leading to a vast quantity of new application scenarios due to the simplification of measuring systems and the independence of specialized lab environments. The objective is to adapt the developed algorithm' to a selection of suitable spectral bands, from monochrome powder specimens to panchromatic safety signs.In this paper, we present a coloristic feature-based procedure for application where geometric pattern recognition does not produce clear results.