BSB 663 - Image Processing (Spring 2014)

Lectures: Thu 18:15-21:00@D9

Instructor: Aykut Erdem

aykut-at-cs-hacettepe.edu.tr
111
+90 312 297 7500, 146

Course Description

The subject matter of this 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 and computer vision. 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.

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

20% Programming Assignments
20% Midterm Exam I
20% Midterm Exam II
40% Final Exam

Schedule (Tentative)

Week	Date	Topic	From the book	Notes
1	Feb 20	Introduction	S1	Slides (pdf, 4pp) Reading: D. Marr, Vision, The Philosophy and the Approach, 1982
2	Feb 27	Image formation	S2.1-2.3.1	Slides (pdf, 4pp)
3	Mar 6	Color, MATLAB review	S2.3.2	Slides (pdf, 4pp)
4	Mar 13	Point operations	S3.1, GW3.1-3.3	Slides (pdf, 4pp)
5	Mar 20	Spatial filtering	S3.2-3.3	Slides (pdf, 4pp)
6	Mar 27	Midterm Exam I		PA1 out [sample_images] [sample_images2]
7	Apr 3	Frequency Domain Techniques	S3.4, GW4.1-4.10	Slides (pdf, 4pp)
8	Apr 10	Image pyramids and wavelets	S3.5, GW7.1	PA1 due Slides (pdf, 4pp)
9	Apr 17	Gradients, edges, contours	S4.2,4.3.1-4.3.2	PA2 out [sample_images] Slides (pdf, 4pp)
10	Apr 24	Image smoothing	S3.2	Slides (pdf, 4pp)
11	May 1	No class (Worker's Day)		PA2 due
12	May 8	Midterm Exam II
13	May 15	Image segmentation I	S5.1-S5.2	PA3 out Slides (pdf, 4pp)
14	May 22	Image segmentation II	S5.3-5.5	Slides (pdf, 4pp)

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 course related communications will be carried out through Piazza. Please enroll it by following the link https://piazza.com/hacettepe.edu.tr/spring2014/bsb663

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.