Overview

This book provides a concise introduction to computer vision for optical researchers and scientists. Building from the optical foundations of image processing and the science behind camera sensors, Optics and Artificial Vision equips the reader with the tools needed to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Python® software to show real, implemented applications in industry. Ideal for industry engineers with projects related to computer vision, as well as a good reference text for academics, students and other researchers working at the intersection of artificial intelligence and optics. Key Features: Provides a concise introduction to artificial vision Main algorithms in computer vision are presented, step-by-step in a pedagogical way Presents all algorithms in Python Shows real implemented applications in industry Optical foundations of image processing are presented

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Rafael G. González-Acuña studied a master’s degree in optomechatronics at the Optics Research Center, A.C. He is currently studying his PhD at the Tecnológico de Monterrey. Rafael has been awarded the 2019 Optical Design and Engineering Scholarship by SPIE and is the co-author of two IOP books: Analytical lens design and Stigmatic Optics. Héctor A. Chaparro Romo is an electronic engineer from Universidad Autonoma Metropolitana. He is the co-author of the IOP books: Analytical lens design and Stigmatic Optics. Israel Melendez-Montoya is a physicist from Universidad Autónoma de Nuevo León with master studies in optics from Tecnológico de Monterrey. Israel has experimented in developing applications connecting optics and computer vision in multiple industrial projects.

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