Course Info

CSC 382: Applied Image Analysis

Fundamentals of computational image analysis will be explored in terms of its two most important components, image information extraction and modeling of image patterns. These components will be studied in the context of image representation, segmentation, classification, retrieval and recognition. The course will be useful for students interested in image analysis related to areas such as image databases, multimedia management, animation, GIS, computer graphics, medical imaging, remote sensing and robotics. Specific topics include, but are not limited to segmentation, multi-scale representation, shape analysis, texture analysis, Fourier analysis, wavelets, Gabor and fractal analysis, template matching, and object recognition. PREREQUISITE(S) CSC 381

Winter 2017-2018

Section: 801
Class number: 21094
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 25664
Meeting time: -
Location: N/A at Online Campus

Winter 2016-2017

Section: 801
Class number: 27032
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00200 at Loop Campus
Section: 810
Class number: 27033
Meeting time: -
Location: N/A at Online Campus

Winter 2014-2015

Section: 801
Class number: 20644
Meeting time: Th 5:45PM - 9:00PM
Location: CDM 00532 at Loop Campus
Section: 810
Class number: 20645
Meeting time: -
Location: N/A at Online Campus

Winter 2013-2014

Section: 801
Class number: 25429
Meeting time: Th 5:45PM - 9:00PM
Location: LEWIS 01108 at Loop Campus
Section: 810
Class number: 25430
Meeting time: -
Location: N/A at Online Campus