Proper spectral band adjustment for coloristic feature-based recognition of safety signs

Christian Merfort; Daniel Schneider; Markus Boehm

doi:10.1117/12.2049594

13 June 2014 Proper spectral band adjustment for coloristic feature-based recognition of safety signs

Christian Merfort, Daniel Schneider, Markus Boehm

Proceedings Volume 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX; 90881C (2014) https://doi.org/10.1117/12.2049594
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

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 algorithm1 to a selection of suitable spectral bands, from monochrome powder specimens to panchromatic safety signs.

Citation Download Citation

Christian Merfort, Daniel Schneider, and Markus Boehm "Proper spectral band adjustment for coloristic feature-based recognition of safety signs", Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 90881C (13 June 2014); https://doi.org/10.1117/12.2049594

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KEYWORDS

Safety

RGB color model

Digital filtering

Image filtering

Tolerancing

Information security

Environmental sensing

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