MATH 345 - Digital Image Processing
Description
Hours: Three hours lecture in the lab per week Prerequisite: Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4) Description: An introduction to the basic concepts and techniques for digital image restoration and enhancement, analysis, coding and compression. The emphasis is on processes which analyze primarily two-dimensional discrete images represented at the pixel level, including filtering, noise reduction and segmentation. Fourier analysis techniques will be explored. Programming exercises will be used to implement the various processes, and their performance on synthetic and real images will be studied.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| MW | 1:30 PM - 2:45 PM | Online | 8/21/2021 - 12/11/2021 | Geoff Dougherty |
Status: Closed
Class Number: 2075
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/21/2021 - 12/11/2021
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 24
Available Seats: 0
Wait List Capacity: 0
Wait List Total: 0
Textbook / Other Materials
Status: RequiredISBN: 9780521860857
Title: Digital Image Processing for Medical Applications
Publisher: CAMBRIDGE UNIV PRESS
Author: Dougherty
More textbook information including prices
Enrollment Information
- Upper Division
- Interdisciplinary Approaches Mission Pillar
- Synch/Asynch online
- Upper Div - B Scientific Inq & Quantitative Reason