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Vision allows humans to perceive and understand the world surrounding them; computer vision aims to duplicate human vision by electronically perceiving and understanding an image. Image Processing, Analysis and Machine Vision is a comprehensive introduction to the field providing up-to-date coverage of all aspects of the subject. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision and Intelligent Robotics, it is also influenced by their active research in these area. Many algorithms, diagrams, examples and up-to-date references make this book required reading for students and professionals involved in computer vision.
of this book is to provide a comprehensive introduction to the field of computer vision, aiming to replicate human visual perception and understanding through electronic means.** The authors, drawing on their extensive experience teaching undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, and Intelligent Robotics, present up-to-date coverage of all aspects of the subject. The book is influenced by their active research, incorporating numerous algorithms, diagrams, examples, and current references to serve as essential reading for students and professionals in computer vision.
The book is presented as a comprehensive introduction to computer vision, suitable for both undergraduate and graduate students, as well as professionals in the field. Its content is informed by the authors' teaching and research experience, suggesting a thorough and practical approach. The inclusion of algorithms, diagrams, and examples indicates a focus on applied knowledge and technical understanding. The book aims to be a required reading for those involved in computer vision, implying a strong emphasis on its utility and relevance.
Page Count:
555
Publication Date:
1993-01-01
ISBN-10:
0412455706
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