Imaging and machine vision book recommendations: 4/22

In order to provide our readers with as many resources on imaging and machine vision as possible, Andy Wilson, Vision Systems Design Editor in Chief, has compiled a list of educational and informative books on various imaging topics that he personally recommends. Check out this week’s recommendations here:

• Image Processing: Principles and Applicationsby Tinku Acharya, Ajoy K. Ray: Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field.
• A Simplified Approach to Image Processing: Classical and Modern Techniques in Cby Randy Crane: Image processing, the use of computers to process pictures, has revolutionized the fields of medicine, space exploration, geology, and oceanography, and has become the hottest area in digital signal processing. This book provides a comprehensive introduction to the most popular image processing techniques used today, without getting bogged down in the complex mathematical presentations found in most image processing books and journals.
• Hexagonal Image Processing: A Practical Approach (Advances in Computer Vision and Pattern Recognition)by Lee Middleton, Jayanthi Sivaswamy: Hexagonal Image Processing provides an introduction to the processing of hexagonally sampled images, includes a survey of the work done in the field, and presents a novel framework for hexagonal image processing (HIP) based on hierarchical aggregates.
• Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision by Josef Bigun: This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept.
• Shape Analysis and Classification: Theory and Practice (Image Processing Series)by Luciano Da Fontoura Costa. Roberto Marcondes Cesar Jr.: Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may find the few existing books on shape analysis too specific or advanced, and for students interested in the specific problem of shape recognition and characterization, traditional books on computer vision are too general.

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