This course focuses on aspects of digital image processing/computer vision where the inputs are images and the outputs are attributes extracted from those images. Topics include colour image processing, image compression, basic morphological image processing, edge detection, thresholding, region detection, feature extraction, and image pattern classification. The laboratory component focuses on the digital hardware implementation of attribute extraction algorithms. Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hoursPrerequisite(s): EE 368.3 and EE 466.3 Prerequisite(s) or Corequisite(s): EE 469.3
This course focuses on aspects of digital image processing/computer vision where the inputs are images and the outputs are attributes extracted from those images. Topics include colour image processing, image compression, basic morphological image processing, edge detection, thresholding, region detection, feature extraction, and image pattern classification. The laboratory component focuses on the digital hardware implementation of attribute extraction algorithms. Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hoursPrerequisite(s): EE 368.3 and EE 466.3 Prerequisite(s) or Corequisite(s): EE 469.3
