Salvador Dali’s Study for the Dream Sequence in Spellbound (1945)

Course Description:

The subject matter of this advanced undergraduate course is about the fundamentals of image processing. The course is structured around key topics in image processing, including image formation, point operations and histogram processing, spatial filtering techniques, frequency domain approaches, image smoothing, edge detection and image segmentation. The main aim of this course is to provide an introduction to students who wish to specialize in interrelated disciplines like image processing, computer vision and computational photography. The students are expected to develop a foundational understanding and knowledge of concepts that underly image processing and related fields. The students will also be expected to gain hand-on experience via a set of programming assignments supplied in the complementary BBM 415 Image Processing Practicum. Hence, the students are strongly advised to register both BBM 413 and BBM 415 classes.

Prerequisites:

Good math (calculus, linear algebra, statistics) and programming skills. Students are not expected to have any prior knowledge of image processing techniques.

Textbooks:

• Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2010 (draft available online).
• Digital Image Processing, R. C. Gonzalez, R. E. Woods, 3rd Edition, Prentice Hall, 2008

Grading Policy:

Grading for BBM 413 will be based on a set of reading assignments (15%), a midterm exam (35%) and a final exam (45%). Participation in class discussions will also be an important factor for the grade (5%). In BBM 415, the grading will be based on at least 4 programming assignments which will be done individually.

Important Dates:

Detailed Schedule:

Additional Resources:

• MATLAB Resources:
  • Introduction to MATLAB, by Danilo Šćepanović
  • MATLAB Tutorial, by Stefan Roth
  • MATLAB Primer, by MathWorks
  • Code Vectorization Guide, by MathWorks
  • Writing Fast MATLAB code, by Pascal Getreuer
  • MATLAB array manipulation tips and tricks, by Peter J. Acklam


• Linear Algebra:
  • A Geometric Review of Linear Algebra, by Eero Simoncelli
  • An Introduction to Linear Algebra in Parallel Distributed Processing, by M.I. Jordan

Communication:

The course webpage will be updated regularly throughout the semester with lecture notes, programming and reading assignments and important deadlines. All other communications will be carried out through Piazza. Please enroll it by following the link https://piazza.com/hacettepe.edu.tr/fall2013/bbm413

Policies:

All work on assignments must be done individually unless stated otherwise. You are encouraged to discuss with your classmates about the given assignments, but these discussions should be carried out in an abstract way. That is, discussions related to a particular solution to a specific problem (either in actual code or in the pseudocode) will not be tolerated.
In short, turning in someone else’s work, in whole or in part, as your own will be considered as a violation of academic integrity. Please note that the former condition also holds for the material found on the web as everything on the web has been written by someone else.