Subject:
Computer Science
Credit units:
3
Offered:
Either Term 1 or Term 2
Weekly hours: 3 Lecture hours
College:
Graduate and Postdoc Studies
Department: Computer Science
Description
Presents the fundamentals of theory and practice of image processing and computer vision. A range of topics are presented covering the phases of a typical image processing and computer vision pipeline: image preprocessing, image segmentation, region description, and classification/decision-making. Theory is practiced through computer programming assignments using a modern image processing library, and a course project. Students completing this course can expect to be able to solve image processing and computer vision problems of up to moderate difficulty that increasingly arise across a wide range of disciplines and application areas.
Note: CMPT 819 and CMPT 487 are mutually exclusive. Students cannot obtain credit for both.
Upcoming class offerings
For full details about upcoming courses, refer to the class search tool or, if you are a current student, the registration channel in PAWS.
Syllabi
The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations.
Once an instructor has made their syllabus publicly available on USask’s Learning Management System, it will appear below. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class. Unless otherwise specifically stated on the content, the copyright for all materials in each course belongs to the instructor whose name is associated with that course. The syllabus is the intellectual property of instructors or the university.
For more information, visit the Academic Courses Policy , the Syllabus page for instructors , or for students your Academic Advising office.
Loading...