This book focus on the theoretical introduction of multispectral multidimensional imaging technology and, combined with the internationally advanced artificial intelligence technology system, systematically elaborate on its cutting-edge theoretical methods and application achievements in the surface quality perception process of metal materials for the first time. The content covers core algorithms such as multispectral imaging, multi-information fusion, image processing, and artificial intelligence, comprehensively presenting the technical connotation of surface quality in the production and processing of metal materials empowered by artificial intelligence.This book also provide an in-depth analysis of the multidisciplinary knowledge systems involved, including optical imaging, 3D imaging, multi-information fusion, deep learning, image processing, and surface quality inspection, and explain them with practical cases. In terms of chapter structure, to facilitate engineers, technicians, and students from different professional backgrounds to grasp the relevant content, this book will first introduce the necessary preliminary knowledge, followed by a systematic explanation of machine vision, 3D imaging, detection algorithms, application effects, and other topics, aiming to foster the cultivation of interdisciplinary talent.

This book focus on the theoretical introduction of multispectral multidimensional imaging technology and, combined with the internationally advanced artificial intelligence technology system, systematically elaborate on its cutting-edge theoretical methods and application achievements in the surface quality perception process of metal materials for the first time. The content covers core algorithms such as multispectral imaging, multi-information fusion, image processing, and artificial intelligence, comprehensively presenting the technical connotation of surface quality in the production and processing of metal materials empowered by artificial intelligence.This book also provide an in-depth analysis of the multidisciplinary knowledge systems involved, including optical imaging, 3D imaging, multi-information fusion, deep learning, image processing, and surface quality inspection, and explain them with practical cases. In terms of chapter structure, to facilitate engineers, technicians, and students from different professional backgrounds to grasp the relevant content, this book will first introduce the necessary preliminary knowledge, followed by a systematic explanation of machine vision, 3D imaging, detection algorithms, application effects, and other topics, aiming to foster the cultivation of interdisciplinary talent.