Textbooks

• Required
  • Machine Vision, Wesley E. Snyder & Hairong Qi
    • 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
  • 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

• Insight Toolkit Web site: www.itk.org
  • ITK Software Guide (.pdf)
  • Doxygen Documentation for ITK 3.10
  • ITK Tutorials
• C/C++ Reference
• Statistical Data Mining Tutorials
  • An excellent resource for statistics, pattern recognition, machine learning, 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.

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