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CSE166 - Image Processing
Units: 4
Course Objectives: This course will provide fundamental background material for CSE undergraduates interested in pursuing industry or research work in pattern recognition, artificial intelligence, computer vision and computer graphics. Image processing skills are also highly applicable in areas such as biomedical data analysis, bioinformatics, and web-based image and video databases.
Course Description: Principles of image formation, analysis, and representation. Image enhancement, restoration, and segmentation; stochastic image models. Filter design, sampling, Fourier and wavelet transforms. Selected applications in computer graphics and machine vision.
Format: 3 hours of lecture per week, 3 hours of discussion section per week, and 6 hours of outside preparation.
Prerequisites: Math 20F and CSE 100, or Math 176.
Other restrictions: Majors only.
Laboratory work: Programming assignments.
Offered: One quarter per year, normally in the Spring.
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