Module Resources
Labs with JAVA, Visual C and VCB.
Module Learning Strategies
Two lectures per week.
One tutorial per week.
(1:n)2 (1:20)1
Module Indicative Content
Image representations (binary, monochrome, colour, alpha channels), Grey-level transforms (thresholding, negation, quantisation), Contrast Enhancement (histogram equalisation, stretching), Filtering in the Spatial Domain (noise removal, edge detection, blurring, etc.), Morphing, Warping, simple colour image processing.
Module Additional Assessment Details
50% Assignment (learning outcomes 2, 3)
50% Examination length 2 hours (learning outcomes 1, 3)
Module Special Admissions Requirements
Prior study of Fundamentals of Software Development or equivalent.
Module Texts
A.A. Low, Introductory Computer Vision and Image Processing, (in-house publication)
R C Gonzalez, R E Woods, Digital Image Processing, Addison Wesley, 2002, ISBN: 0130946508