Course Title:
Image Processing and Pattern Recognition
Course Description:
Provides an introduction to processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Topics include discrete signals and systems in 2-D, digital images and their properties, image digitization, image enhancement, image restoration, image segmentation, feature extraction, object recognition, and pattern classification principles (Bayes rules, class boundaries) and pattern recognition methods.
Fall Offering:
Lab/Coreq 1:
Spring Offering:
Odd
Lab/Coreq 2:
Summer Offering:
Lab/Coreq Remarks:
Summer 1 Offering:
Prerequisite 1:
ECE U464
Summer 2 Offering:
Prerequisite 2:
ECE U468
Cross-Listed Course 1:
Prerequisite 3:
MTH U481
Cross-Listed Course 2:
Prerequisite 4:
Cross-Listed Course 3:
Prerequisite 5:
Cross-Listed Course 4:
Prerequisite Remarks:
Cross-Listed Course 5:
Repeatable:
N
