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. Weekly hours: 3 Lecture hoursPrerequisite(s): One of CMPT 317.3, CMPT 332.3, CMPT 340.3 or CMPT 370.3; and one of MATH 164.3, EE 216.3 or CE 318.3. Note: Students with credit for CMPT 819 may not take this course for credit. Costs in addition to tuition apply to this course.
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. Weekly hours: 3 Lecture hoursPrerequisite(s): One of CMPT 317.3, CMPT 332.3, CMPT 340.3 or CMPT 370.3; and one of MATH 164.3, EE 216.3 or CE 318.3. Note: Students with credit for CMPT 819 may not take this course for credit. Costs in addition to tuition apply to this course.
