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ECTS Course Overview



Image Analysis I

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code460-4080/02
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech, English
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
SOJ10doc. Dr. Ing. Eduard Sojka
Summary
The following topics are discussed: Image segmentation. Detecting edges, regions, corners. Measuring objects. Pattern recognition based on classification. Using neural networks for pattern recognition. Reconstructing 3D scenes. Processing images varying in time. Object tracking. The cource includes the computer labs in which the computer programs are realised corresponding to the mentioned topics.
Learning Outcomes of the Course Unit
The course acquaints the students with the foundations of image analysis. After passing the course, the student will understand the principles of the selected method of image segmentation and image analysis and will be able to implement them.
Course Contents
Lectures:
1. Detecting edges in images. Gradient methods.
2. Zero-crossing methods. Parametric edge models.
3. Canny edge detector.
4. Thresholding. Optimal threshold selection. Adaptive thresholding.
5. Image segmentation based on region growing and splitting. Heuristic edge following.
6. Hough transform. Detecting feature points (corners).
7. Measuring objects. Selecting and computing the features for recognition.
8. Evaluating the efficiency and optimisation of the set of selected features.
9. Classification based on discriminant functions. Probabilistic approach to determining the discriminant functions. Classification based on etalons.
10. Classification based on the neural networks; multi-layer neural networks.
11. Scene reconstruction from its two or more images. Camera calibration. Processing the depth data.
12. Correspondence problem and some approaches how it can be solved.
13. Analysis of time-varying images. Optical flow.
14. Object tracking. Kalman filtering.

Computer labs:
1. Edge detection. Gradient.
2. Edge detection. Zero-crossing methods. Parametric edge models.
3. Thresholding. Optimal threshold selection. Edge linking.
4. Hough transform.
5. Image indexing.
6. Measuring objects. Computing moments.
7. Measuring objects. Selection and computation of features for pattern recognition.
8. Classification using etalons.
9. Classification using k-means.
10. Classification using neural networks.
11. Background subtraction methods.
12. Processing the depth images.
13. Tracking the objects in videosequences.
14. Credit.
Recommended or Required Reading
Required Reading:
Mandatory:
Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007

1. Sojka, E., Gaura, J., Krumnikl, M.: Matematické základy digitálního zpracování obrazu, VŠB-TU Ostrava, 2011.
2. E. Sojka, Digitální zpracování a analýza obrazů, učební texty, VŠB-TU Ostrava, 2000 (ISBN 80-7078-746-5).
3. Gonzalez, R., C., Woods, R., E.: Digital Image Processing, Prentice Hall, ISBN-10: 013168728X, ISBN-13: 978-0131687288, 2007.

Recommended Reading:
1. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908, ISBN-13: 978-1848001909, 2011
2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793, ISBN-13: 978-1430260790, 2013
3. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X, ISBN-13: 978-0470745861, 2010
1. Burger, W., Burge, M., J.: Principles of Digital Image Processing: Fundamental Techniques, Springer, ISBN-10: 1848001908, ISBN-13: 978-1848001909, 2011
2. Brahmbhatt, S.: Practical OpenCV (Technology in Action), Apress, ISBN-10: 1430260793, ISBN-13: 978-1430260790, 2013
3. Petrou, M., Petrou, C.: Image Processing: The Fundamentals, Wiley, ISBN-10: 047074586X, ISBN-13: 978-0470745861, 2010
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined