Subject: Computer Science
Credit units: 3
Offered: Term 2 only
Weekly hours: 3 Lecture hours
College: Arts and Science
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. 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.

Prerequisite(s): (MATH 164 or 266 or EE 216 or CE 318) and (CMPT 317 or CMPT 332 or CMPT 340 or CMPT 370).
Note: CMPT 819 and CMPT 487 are mutually exclusive. Students cannot obtain credit for both.

Upcoming class offerings

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Syllabi

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It is recommended that students also have online access to syllabi prior to the beginning of the class. After submission to the department head, or dean in non-departmentalized colleges, syllabi should be posted on Blackboard and/or publically accessible departmental or other websites. Instructors who post their syllabus on publically accessible websites may wish to redact certain information that is not related to the core instruction of the class (e.g. personal contact information, names and contact information for teaching assistants, material protected under copyright, etc.).

Once an instructor has made their syllabus publicly available on Blackboard, it will appear below. For more information about syllabi, visit the Academic Courses Policy.

For more information about syllabi, visit the Academic Courses Policy.

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