Light optimal design for machine vision based on reflection

Abstract

Illumination is one of the most important elements to capture high quality images in machine vision systems, which can guarantee the efficiency and robustness of the applications. Contrary to the experience based trail and error convention to select a light system, a optimization model for LED illumination system design is proposed based on the surface reflection characteristics, e.g. the roughness, the index of surface reflectivity, direction, etc, to maximize the contrast between the features of interest and the background. The optimization model applies to a wide range of materials. And it can be used to get the optimal parameters which make the contrast between target and background be biggest, such as incidence angle, wavelength and intensity of light. Through experiments and simulations, our proposed scheme can achieve high quality images with biggest contrast, which would be an efficient methodology for optimal LED light system design in machine vision to simplify the algorithm.