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.

CSC 481 is a prerequisite for this class.

Winter 2024-2025

Section: 801
Class number: 22843
Meeting time: Th 5:45PM - 9:00PM
Location: N/A at Loop Campus
Section: 810
Class number: 22925
Meeting time: -
Location: Online: Async

Winter 2023-2024

Section: 801
Class number: 22849
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 22934
Meeting time: -
Location: Online: Async

Winter 2022-2023

Section: 801
Class number: 28783
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 28878
Meeting time: -
Location: Online: Async (Sync-Option)

Winter 2021-2022

Section: 801
Class number: 28451
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 28565
Meeting time: -
Location: Online: Async

Winter 2020-2021

Section: 801
Class number: 28345
Meeting time: Th 5:45PM - 9:00PM
Location: Online: Sync
Section: 810
Class number: 28496
Meeting time: -
Location: Online: Async (Sync-Option)