A SELF-ADAPTIVE ILLUMINATION CONTROL SYSTEM BASED ON GENETIC ALGORITHM FOR IMAGE MEASUREMENT

摘要

Illumination control system is the base and precondition for image measurement because the measuring precision depends largely on high quality image data. The architecture of lamp-house and illumination scheme affect the image quality and edge extracting effect directly. This paper designed an illumination architecture which includes a back light and three direct ring front light lamp houses. A self-adaptive illumination control system based on genetic algorithm was put forward in order to acquire the best quality image of the object. The optimal illumination control parameters aimed at different objects to be measured could be found with the help of intelligent illumination control system. The expert system based on the category of objects to measure was built to accelerate the searching process for optimal control parameters. Experiments show that the proposed strategy can improve the performance of illumination control system greatly.