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ENGO559

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Digital Imaging and Applications

Geomatics Engineering EN - Schulich School of Engineering

Subject

ENGO - Geomatics Engineering

Description

An introduction to digital image processing (IP) and computer vision (CV) concepts, methods and algorithms which will enable the students to implement IP/CV systems or use IP/CV software with emphasis on applications and problem-solving in geomatics engineering including remote-sensing and photogrammetry and in other disciplines including energy and environment engineering. Course components include: image formation and intensity transformation, filtering in the spatial and frequency domain, colour image processing, feature detection and matching, image restoration, image segmentation, mathematical morphology and multi-source image/data fusion.

Prerequisite(s): Geomatics Engineering 435; and Geomatics Engineering 327 or Electrical Engineering 327.

Also known as: (Geomatics Engineering 659)

Signature Learning

Research & Creative Scholarship

Course Attributes

Fee Rate Group(Domestic) - D, Fee Rate Group(International) -C, GFC Hours (2-2), RCS Focused, Research & Creative Scholarship - Focused

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LAB

Component

LEC

Units

3

Repeat for Credit

No

Subject code

ENGO
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