Diffuse Reflection Imaging for Detection of Surface Defect Based on Machine Learning

Abstract

Diffuse reflection imaging relies on the fundamental principles of light interaction with rough or matte surfaces, enabling light to scatter in various directions. Unlike specular reflection, which directs light in a single path, diffuse reflection occurs sporadically. Its distinctive quality lies in its effectiveness for imaging objects with irregular or nonreflective surfaces, offering comprehensive information challenging to attain through alternative imaging methods. As a burgeoning subfield within optical and computer vision technologies, diffuse reflection imaging holds immense potential across scientific, industrial, and medical domains. This abstract succinctly outlines the key aspects of diffuse reflection imaging and underscores its diverse applications, marking it as a promising and newly developed field with substantial implications.