International School on Image Processing [see the poster]
July 15th – 30th, 2013
Faculty of Electrical Engineering and Computer Science (IESC), building N, room Nii10 (2nd floor). Address: Politehnicii 1, Brasov 500019.
All the participants are kindly asked to register by sending an e-mail to the organizer (Mihai.Ivanovici (at) unitbv.ro) and by paying the registration fee prior to the beginning of the school. Registration fee: 1000 RON. Attendance fee is 50 RON for the students of Transilvania University of Brasov.
Participants should have previously attended the following courses or at least to have some knowledge in the following fields: mathematics (statistics), algorithms & complexity, C/C++ programming, digital signal processing fundamentals.
At the end of the school the participants will be required to pass a test consisting of questions and exercises related to the topics presented during the school. Based on the results of the test, the participants will receive certificates proving that they graduated this intensive course on image processing. The certificates will state the grade obtained by the participants, along with the curricula of the school and the name of the lecturers.
The details concerning the room and the time intervals will be announced soon. Preliminary schedule: lectures from 9:00 to 12:00 with coffee break and laboratory work from 14:00 to 18:00.
1st WEEK: Fundamentals of digital image processing
Lecture 1. Introduction to Image Processing (including the visual perception of images, the Shannon theorem, optical fundamentals, acquisition and storage of images);
Lecture 2. Common tools for image processing (grey level profile, look-up tables, histogram, pixel magnifier);
Lecture 3. Image Filtering (including low-pass and high-pass filtering, threshholding);
Lecture 4. Morphologic Operators (erosion, dilation, opening, closing, thinning)
Lecture 5. Colour Spaces / Representation
2nd WEEK: Advanced Techniques in Image Processing
Lecture 6. Fractal Analysis
Lecture 7. Optional: Texture Analysis and Classification
Lecture 8. 2D Fourier Transform, Hough transform for lines and circles
Lecture 9. Active Contours (Snakes) – Application in CT Image Segmentation