Class Number: 2083
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.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| F | 09:00 AM - 11:50 AM | 01/18/2014 - 05/16/2014 | Ojai Hall 1964 | Kathryn Leonard |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 01/18/2014
End Date: 05/16/2014
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 10
Available Seats: 14
Wait List Capacity: 10
Wait List Total: 0
Textbook / Other Materials
Textbook Status: Required
ISBN: 978-0131687288
Title: Digital Image Processing
Author: Gonzalez & Woods
Publish: Prentice Hall
More textbook information including prices
Enrollment Information
- Upper Division
- B1:Physical Sciences - Physics, Geology, Earth Sci
- UDIGE: Interdisciplinary
- B4: Computers and Information Technology
Notes
- Prerequisite course required. Consult CSUCI Catalog
- Cross-listed course