Image Processing
605.463
Course Description
Fundamentals of image processing are covered, with an emphasis on digital
techniques. Topics include digitization, enhancement, segmentation, the Fourier
transform, filtering, restoration, reconstruction from projections, and image
analysis including computer vision. Concepts are illustrated by laboratory
sessions in which these techniques are applied to practical situations,
including examples from biomedical image processing.
Syllabus
- Image Processing Hardware
- Introduction/Digital Image Fundamentals
- Simple Enhancement
- Elements of Scene Analysis
- Cellular Logic Operations
- Image Data Compression
- Mid-term Exam (in class, closed book)
- Filtering I
- Filtering II
- Reconstruction from Projections
- Restoration
- Computer Vision
- Multiresolution Image Processing
- Final Exam (in class, closed book)
Prerequisites
A familiarity with Fourier transforms.
Instructor
Thomas Corrigan
C. Anthony Waters
Computer Lab Requirements
No specific computer requirements are necessary for this course.
Textbook
Digital Image Processing by Gonzalez & Woods
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Computer Science Courses | Computer
Science | Part-Time Engineering
Fall 1998