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Detailed Course Information


Fall 2016 Semester
May 24, 2020
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EECE 4626 - Image Processing and Pattern Recognition
Provides an introduction to processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Topics include discrete signals and systems in 2-D, digital images and their properties, image digitization, image enhancement, image restoration, image segmentation, feature extraction, object recognition, and pattern classification principles (Bayes rules, class boundaries) and pattern recognition methods. Prereq. (a) EECE 3464 and (b) EECE 3468 or MATH 3081.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Electrical and Comp Engineerng Department

Course Attributes:

Must be enrolled in one of the following Levels:     

Undergraduate level EECE 3464 Minimum Grade of D- and (Undergraduate level EECE 3468 Minimum Grade of D- or Undergraduate level MATH 3081 Minimum Grade of D-)

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