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Course Offerings

Course Evaluation Results

Course Details

Spring 2016-2017
ELE 488   No Pass/D/Fail

Image Processing

Peter J. Ramadge

Introduction to the basic theory and techniques of image processing. Topics include: Analog and digital images, image formation, coordinates, image interpolation, Fourier transforms, sampling, spatial filters, edge detection, maximum likelihood estimation, probability models, Weiner filter, image classification and machine learning approaches to image processing and computer vision.

Sample reading list:
Peter Ramadge, ELE488 Lecture Notes

Reading/Writing assignments:
Typical weekly assignments: laboratory, homework. 5-30 pages of reading per week.

Requirements/Grading:
Mid Term Exam - 25%
Final Exam - 25%
Design Project - 25%
Lab Reports - 25%

Other Requirements:
Statistical, design or other software use required
Not Open to Freshmen.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
42304 L01 3:00 pm - 4:20 pm M W   Friend Center   004   Enrolled:12 Limit:75
42303 B01 7:30 pm - 10:20 pm Th   Engineering Quad F-Wing   F110   Enrolled:12 Limit:35