Adaptive illumination source for multispectral vision system applied to material discrimination

A multispectral system based oil a monochrome camera and all adaptive illumination source is presented in this paper. its preliminary application is focused oil material discrimination for food and beverage industries, where monochrome, color and infrared imaging have been successfully applied for this task. This work proposes a different approach. in which the relevant wavelengths for the required discrimination task are selected in advance using, a Sequential Forward Floating Selection (SFFS) Algorithm. A light source, based oil Light Emitting Diodes (LEDs) at these wavelengths is then used to sequentially illiminate the material under analysis, and the resulting images are captured by a CCD camera with spectral response in the entire range of the selected wavelengths. Finally, the several multispectral planes obtained are processed using a Spectral Angle Mapping (SAM) algorithm, whose output is the desired material classification. Among other advantages, this approach of controlled and specific illmination produces multispectral imaging with a simple monochrome camera, and cold illmination restricted to specific relevant wavelengths, which is desirable for the food and beverage industry. The proposed system has been tested with success for the automatic detection of foreign object in the tobacco processing industry.