Description
Introduction to fundamental concepts and applications in image processing and computer vision. Topics include image acquisition, convolution, Discrete Fourier Transform, image enhancement, edge detection, segmentation, image registration, human contrast perception, colour perception and reproduction, stereo vision.
Learning Hours
120 (36 Lecture, 84 Private Study)
Prerequisite
Registration in a School of Computing Plan and a minimum grade of a C- (obtained in any term) or a 'Pass' (obtained in Winter 2020) in ([MATH 110 or MATH 111 or MATH 112] and [MATH 120 or MATH 121 or MATH 123 or MATH 124 or MATH 126] and CISC 124).