Textbooks

• Required
  • Machine Vision, Wesley E. Snyder & Hairong Qi
    • ISBN 978-0-521-16981-3 (paperback) or 978-0-521-83046-1 (hardback)
    • Amazon
    • Barnes & Noble
    • Cambridge
    • Also ordered by CMU's bookstore
• Officially Recommended
  • Insight into Images: Principles and Practice for Segmentation, Registration and Image Analysis, Terry S. Yoo (Editor)
    • Amazon
    • Barnes & Noble
    • Should also be ordered by CMU's bookstore
• Useful if you want to build your bookshelf
  • Variational Methods in Image Processing, Luminita A. Vese, Carole Le Guyader, 2015
  • Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies: Volumes One and Two, Ayman S. El-Baz, et. al. (Editors), 2011
  • Computer Vision: Algorithms and Applications, Richard Szeliski, 2011 (free pre-press pdf, pages don't match)
  • Handbook of Medical Imaging: Processing and Analysis, Isaac Bankman (Editor)
  • Computer Vision, Linda Shapiro
  • Algorithms for Image Processing and Computer Vision, J. R. Parker
  • Machine Vision: Theory, Algorithms, Practicalities, E. R. Davies

Online References

• SimpleITK site: www.simpleitk.org
  • SimpleITK Tutorial Notebooks
• Insight Toolkit Web site: www.itk.org
  • ITK Software Guide (.pdf)
  • Doxygen Documentation (currently for ITK 4.5.0)
  • ITK Tutorials
• C/C++ Reference
• Statistical Data Mining Tutorials
  • An excellent resource for statistics, pattern recognition, machine learning, etc.
• University of Pittsburgh's Center for Biologic Imaging (images, downloads, etc.)

Printed References

• ITK Software Guide; The Insight Segmentation and Registration Toolkit, by Luis Ibanez and Will Schroeder
• Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis, by Terry Yoo.
• C++ How to Program (4th Edition), by Harvey M. Deitel and Paul J. Deitel
• Using the STL; The C++ Standard Template Library (2nd Edition), by Robert Robson.
• Design Patterns; Elements of Reusable Object-Oriented Software, by Erich Gamma, et al.
• Teach Yourself C++ in 21 Days (4th edition), by Jesse Liberty
• The OpenGL Superbible (2nd edition), by Wright and Sweet - not really needed for this class but may be useful for your project.

Other Local Courses in Biomedical Imaging, Processing, and Analysis

• Biomedical Imaging: Pitt BIOENG 1330/2330
• Introduction to Biophotonics: CMU BME 42-698P
• Introduction to Biomedical Imaging and Image Analysis: CMU BME 42-431 / ECE 18-496
• Computational Methods in Biomedical Engineering: CMU BME 42-663

Local Courses in C++

• BIOE 2351 - Computer applications in bioengineering (University of Pittsburgh) / Course Website / Syllabus

Sister Courses

• Martial Herbert's CMU Advanced Perception Class, Spring 2004
• Computational Techniques for Graphics and Viusalization (Ohio State)
• Stephen Aylward's CADDLab Tutorials at UNC Chapel Hill
• Chuck Stewart and Luis Ibanez's course in ITK at Rensselaer

Data

Brainweb brand synthetic MRI data