Computer and machine vision theory, algorithms, practicalities - Davies, E. R. (Elsevier, 2012)
Includes bibliographical references and indexes
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R & D engineers working in this vibrant subject. Key features include