INF4300 - Digital image analysis
Schedule, syllabus and examination date
Digital images and their properties. Data structures for image analysis. Construction of 2D and 3D filters for image enhancement and analysis. Segmentation and description of objects in images. Pattern recognition. Supervised and unsupervised classification.
The student will bet a basic understanding of concepts, methods and applications of image analysis, pattern recognition, and image classification.
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Recommended previous knowledge
2 hours of lectures and 2 hours of exercises per week. The course includes mandatory assignments. Rules for mandatory assignments.
Oral or written examination (4 hours). All mandatory assignments have to be accepted in order to take the exam.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: INF269 and INF3300
It is strongly recommended to attend the first lecture since it will be given important information.