MATH 445 - Image Analysis & Pattern Recog
Description
Hours: Three hours lecture in the lab per week Prerequisite: PHYS/COMP/MATH 345 or consent of the instructor Description: The course addresses the issue of analyzing the pattern content within an image. Pattern recognition consists of image segmentation, feature extraction and classification. The principles and concepts underpinning pattern recognition, and the evolution, utility and limitations of various techniques (including neural networks) will be studied. Programming exercises will be used to implement examples and applications of pattern recognition processes, and their performance on a variety of diverse synthetic and real images will be studied.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| W | 6:00 PM - 8:50 PM | Sierra Hall 2111 | 1/19/2019 - 5/24/2019 | William Barber |
Status: Open
Class Number: 2128
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 1/19/2019 - 5/24/2019
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 18
Available Seats: 6
Wait List Capacity: 15
Wait List Total: 0
Enrollment Information
- Upper Division