COMP 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 2141 | 1/20/2018 - 5/25/2018 | William Barber |
Status: Open
Class Number: 2514
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 1/20/2018 - 5/25/2018
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 14
Available Seats: 10
Wait List Capacity: 15
Wait List Total: 0
Textbook / Other Materials
Status: RequiredISBN: 9781461453222
Title: Pattern Recognition & Classification: An Introduct
Publisher: Springer Nature
Author: Doughtery
Status: Required
ISBN: 9781461453239
Title: Pattern Recognition and Classification
Publisher: Springer Nature
Author: Dougherty
More textbook information including prices
Enrollment Information
- Upper Division
- B1:Physical Sciences - Physics, Geology, Earth Sci
- UDIGE: Interdisciplinary
- B4: Computers and Information Technology