Course Info

CSC 482: Applied Image Analysis

Image analysis from classical computational imaging techniques to deep learning techniques. Fundamentals of computational image analysis in terms of image information extraction and modeling of image patterns. Specific topics include, but are not limited to: image segmentation, multi-scale representation, shape analysis, texture analysis, Fourier analysis, wavelets, Gabor and fractal analysis, and template matching. Deep learning models to extract image representations automatically. Classical and deep learning imaging techniques applied and compared in the context of different image analysis tasks such as image representation, segmentation, classification, retrieval, and object recognition. Applications of these techniques for autonomous driving, biometrics, sports analytics, smart and connected communities, and biomedical and health informatics. PREREQUISITE(S) CSC 481

CSC 481 is a prerequisite for this class.

Winter 2019-2020

Section: 801
Class number: 22669
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 22867
Meeting time: -
Location: ONLIN E0000 at Online Campus

Winter 2018-2019

Section: 801
Class number: 25748
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 26122
Meeting time: -
Location: ONLIN E0000 at Online Campus

Winter 2017-2018

Section: 801
Class number: 21093
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 25663
Meeting time: -
Location: N/A at Online Campus

Winter 2016-2017

Section: 801
Class number: 27030
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 27031
Meeting time: -
Location: N/A at Online Campus

Winter 2014-2015

Section: 801
Class number: 20642
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00532 at Loop Campus
Section: 810
Class number: 20643
Meeting time: -
Location: N/A at Online Campus