Адаптивна компенсація нерівномірності освітлення при контролі металевих поверхонь в системах технічного зору

Abstract

This work investigates the influence of illumination nonuniformity on the quality of machine vision inspection of metallic surfaces. Due to the reflective properties of metals, brightness variations and specular highlights significantly affect the reliability of defect detection algorithms. An adaptive illumination compensation method based on background estimation and brightness normalization is proposed. The approach improves the stability of defect detection under varying lighting conditions and enhances the visibility of low-contrast defects.