Imaging and machine vision book recommendations: 3/4
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:
- Optomechatronics: Fusion of Optical and Mechatronic Engineering by Hyungsuck Cho: Representing an evolutionary leap, the integration of optical technologies into mechatronic systems adds a new dimension to an already multifaceted field. Optical elements enhance the functionality of mechatronics and in many cases introduce entirely new capabilities. Likewise, mechatronic elements bring the same synergistic effects to optical systems. However, most books focus on traditional mechatronics while only briefly discussing, or omitting completely, the characteristics of optomechatronic technology. Bringing together the fundamentals and underlying concepts, Optomechatronics provides a detailed introduction to this growing field.
- Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers by Rudra Pratap: MATLAB, a software package for high-performance numerical computation and visualization, is one of the most widely used tools in the engineering field today. Its broad appeal lies in its interactive environment, which features hundreds of built-in functions for technical computation, graphics, and animation. In addition, MATLAB provides easy extensibility with its own high-level programming language.
- Color Image Processing: Methods and Applications by Rastislav Lukac, Kostantinos N. Plataniotis: Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing. The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging. To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise.
- Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standardsby Yun Q. Shi, Huifang Sun: Advanced technologies have increased demands for visual information and higher quality video frames, as with 3-D movies, games, and HDTV. This taxes the available technologies and creates a gap between the huge amount of visual data required for multimedia applications and the still-limited hardware capabilities. Image and Video Compression for Multimedia Engineering bridges the gap with concise, authoritative information on video and image coding.
- Software Engineering for Image Processing Systems by Philip A. Laplante: Software Engineering for Image Processing Systems creates a modern engineering framework for the specification, design, coding, testing, and maintenance of image processing software and systems. The text is designed to benefit not only software engineers, but also workers with backgrounds in mathematics, the physical sciences, and other engineering disciplines, who find themselves working on a software project team. The author classifies imaging software as its own distinct caste, thereby providing a common language and framework for imaging engineers of all backgrounds.
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James Carroll
Former VSD Editor James Carroll joined the team 2013. Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.