INTERNATIONAL SCHOOL ON IMAGE PROCESSING – ISIP 2015
Professor Richter’s Lectures on Image Processing
July 20th – 31st, 2015, Brasov, Romania
Faculty of Electrical Engineering and Computer Science (IESC), building N, room Nii10 (2nd floor). Address: Politehnicii 1, Brasov 500019. Location on Google maps and GPS coordinates: 45.643982, 25.594822
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: 1350 RON. Registration fee is only 50 RON for the students of Transilvania University of Brasov.
Participants should have previously attended the following courses or at least to have good knowledge in the following fields: mathematics (incl. statistics), algorithms & complexity, C/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.
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. The content of the summer school is:
Lecture 1: Introduction to image processing
Lecture 2: Analysis tools for image processing (grey level profiles, look-up-tables, histogram, pixel magnifier, optional Otsu-Binarization)
Lecture 3: Operations in spatial domain (low-pass and high-pass filtering, optional: Canny and Harris filters)
lecture 4: Morphologic Operators (erosion and dilation for binary and grey value images, opening, closing, thinning)
Lecture 5: Texture analysis and classification (optional)
Lecture 6: Interpolation
Lecture 7: Hough-Transform for lines, circles and parabolas
Lecture 8: Colour spaces
Lecture 9: Colour image processing (low-pass and high-pass filtering, chromaticity, segmentation, colour resolution)
Lecture 10: Fourier-Transform (optional)
Lecture 11: Medical imaging (optional)