Part-Time Programs in Engineering and Applied Science, Johns Hopkins University

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

  1. Image Processing Hardware
  2. Introduction/Digital Image Fundamentals
  3. Simple Enhancement
  4. Elements of Scene Analysis
  5. Cellular Logic Operations
  6. Image Data Compression
  7. Mid-term Exam (in class, closed book)
  8. Filtering I
  9. Filtering II
  10. Reconstruction from Projections
  11. Restoration
  12. Computer Vision
  13. Multiresolution Image Processing
  14. 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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Fall 1998