Imaging and machine vision book recommendations: 12/30

As part of our Solutions in Vision series, we want to provide our readers with as many resources on imaging and machine vision as possible. As part of this, 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.

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As part of our Solutions in Vision series, we want to provide our readers with as many resources on imaging and machine vision as possible. As part of this, 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:

  • Computer Vision 1st Editionby Linda G. Shapiro, George C. Stockman: Using a progressive intuitive/mathematical approach, this introduction to computer vision provides necessary theory and examples for practitioners who work in fields where significant information must be extracted automatically from images-- including those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography.
  • Learning OpenCV: Computer Vision with the OpenCV Libraryby Gary Bradski, Adrian Kaehler: Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on the data. Computer vision is everywhere -- in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more.
  • Efficient C++: Performance Programming Techniques by Dov Bulka David Mayhew: Far too many programmers and software designers consider efficient C++ to be an oxymoron. They regard C++ as inherently slow and inappropriate for performance-critical applications. Consequently, C++ has had little success penetrating domains such as networking, operating system kernels, device drivers, and others. Efficient C++ explodes that myth. Written by two authors with first-hand experience wringing the last ounce of performance from commercial C++ applications, this book demonstrates the potential of C++ to produce highly efficient programs.
  • 3D Image Processing: Techniques and Clinical Applications (Medical Radiology) by D. Caramella, C. Bartolozzi, A.L. Baert: Few fields have witnessed such impressive advances as image processing in radiology. The progress achieved has revolutionized diagnosis and greatly facilitated treatment selection and accurate planning of procedures. This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The first section covers a wide range of technical aspects in an informative way. This is followed by the main section, in which the principal clinical applications are described and discussed in depth. To complete the picture, a third section focuses on various special topics.
  • Radiological Imaging: The Theory of Image Formation, Detection, and Processing by Harrison H. Barrett, William Swindell: Radiological Imaging: The Theory of Image Formation, Detection, and Processing is intended to prepare the student to do research in radiological imaging, to teach general image science within a radiographic context, and to help the student gain fluency with the essential analytical tools of linear systems theory and the theory of stochastic processes that are applicable to any imaging system.

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