Advances in image processing
Dr Imants Svalbe
4 points * 1-hour lecture and one 2-hour laboratory class per week * First and/or second semester * Clayton * Prerequisite: PHS2431 or CSC3140
Objectives After successful completion of this subject the student should understand the principles and techniques of representing 1D and 2D image data through multi-resolution images, scale space and the wavelet transform; be familiar with the techniques used to acquire 3D information such as the collection of range data through passive and active sensing methods; understand the processes used to reduce, segment and classify 3D data; have reviewed some of the current models used to describe 3D objects.
Synopsis Multiresolution images. Scale space representation. Wavelets. The formation, processing and interpretation of 3-D images. Shape from X. Range images. Optical flow. Confocal microscopy image analysis, fluorescence imaging. Application case studies in industry, biology and agriculture.
Assessment Examination (1.5 hours): 50% * Project work: 50%
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