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.

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Syllabi

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