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December 2020 Vol. 58 No. 4

In this work on fundamental concepts and issues of computer vision and the major approaches that address them, Bhuyan (India Institute of Technology) provides a solid theory-based introduction to image processing. The book is organized into four parts: "Image Formation and Image Processing" (part 1), "Image Features" (part 2), "Recognition" (part 3), and "Applications" (part 4). These parts build knowledge sequentially, making this book more a self-learning tool than a reference, yet each chapter is relatively self-contained, with its own detailed table of contents. The theoretical content requires some second-year university mathematics. Knowledge of the numerical processing software MATLAB is not a requirement but will be very useful to assist readers in fully comprehending the examples provided. Every chapter consistently adopts a standardized structure. The text is written clearly and illustrated effectively. As this is an introductory text, the applications presented are necessarily limited, but they nevertheless represent the state of the art in computer vision. Thus, this book is suitable as a primer for graduate students, as a self-study guide for practitioners and professionals, and as a good textbook for a fourth-year undergraduate course.

--L. Benedicenti, University of New Brunswick

Summing Up: Recommended. Upper-division undergraduates through faculty and professionals.