Program for a concentration in Computer Vision/Image Processing (CVIP) for Masters Degree in Electrical Engineering:

CVIP Faculty Coordinator: Dr. Scott Umbaugh

Computer Vision and Image Processing Laboratory

ECE Core Courses:

  • ECE552 Stochastic Processes II

One course each from two of the three categories below:

  • Computers: ECE577, 581, 582 or 584
  • Communications: ECE570, 572, 574 or 575
  • Signals and Systems: ECE532, 538, 539 or 563

Computer Vision/Image Processing Core courses:

Take four or five of following (maximum of two out of department courses):

  • ECE427 Knowledge-Based Systems
  • ECE436 Digital Signal Processing (DSP)
  • ECE467 Introduction to Robotics - Dynamics and Control
  • ECE484 VLSI Design
  • ECE532 Applications of DSP
  • ECE575 Detection and Estimation
  • ECE581 Parallel Architectures I
  • ECE584 Analog CMOS IC Design
  • ECE587 Intelligent Engineering Systems
  • ECE591 Independent Study
  • ECE595 Electrical Engineering Master's Project
  • ME458 Mechatronics
  • GEOG422 Remote Sensing and Digital Image Processing
  • CS404 Scientific Computation
  • CS438 Artificial Intelligence
  • CS482 Computer Graphics
  • CS582 Advanced Computer Graphics
  • MATH421 Linear Algebra II
  • MATH423 Combinatorics and Graph Theory
  • MATH466 Numerical Linear Algebra with Applications

Other courses of interest:

  • ECE466 Digital Control
  • ECE481 Microcontrollers
  • ECE482 Microprocessor Systems
  • ECE561 Stochastic Optimal Control
  • ECE574 Digital Communication
  • ECE582 Parallel Architectures II
  • GEOG425 Raster Based Geographic Information Systems (GIS)
  • GEOG525 Seminar in Geographic Information Systems (GIS)
  • MA462 Engineering Mathematics II
  • MA465 Numerical Analysis
  • CS404 Scientific Computation
  • PHIL495 Independent Study in Visual Perception
  • PSYCH512 Sensory and Perceptual Processes
  • PSYCH517 Human Cognition
  • PHYS410 Optics
  • PHYS355 Light and Color (not for graduate credit)

Computer Vision and Image Processing (CVIP) Concentration:

ECE CORE: ECE552 and see above.

CVIP CORE: ECE438, ECE439, ECE538, ECE539.

FOUR OF THE FOLLOWING (two out of department courses maximum):ECE436, ECE467, ECE484, ECE487, ECE532, ECE575, ECE581, ECE587, ECE591, ECE595, CS402, CS403, CS404, CS438, CS482, CS582, CIS515, GEOG422, MA421, MA423, MA466.

Current Research Projects:

1) The development of a computer vision system for the automatic diagnosis of skin tumors. This project has been funded by the National Institute of Health, SIUE, and Stoecker and Associates.

2) The development of a computer vision and image processing research and educational tool, CVIPtools. This has been funded by SIUE, the National Institute of Health, the U.S. Army, the U.S. Air Force, System Dynamics International, and Camber Corporation.

3) Research and development for the analysis of veterinary thermographic images for establishing norms.

4) The development of an Automatic Image Algorithm Development Tool, funded by SIUE through FUR, SRF

Previous Research Projects:

1) The development of a computer vision system for the automatic diagnosis of skin tumors. This project has been funded by the National Institute of Health, SIUE, and Stoecker and Associates.

2) The development of a computer vision and image processing research and educational tool, CVIPtools. This has been funded by SIUE, the National Institute of Health, the U.S. Army, the U.S. Air Force, System Dynamics International, and Camber Corporation.

3) Investigation into algorithms for color image analysis. Funded by the National Institute of Health, SIUE, and Stoecker and Associates.

4) Research into image enhancement techniques for the deblurring of high speed helicopter images, funded by SIUE, the U.S. Army, the U.S. Air Force, System Dynamics International, and Camber Corporation.

5) Analysis of thermal image data for the modeling of temperature gradients in various materials, funded by SIUE.

6) Development of image enhancement techniques for videotaped images of art museum displays, funded by SIUE.

7) Development of Wavelet/Vector Quantization (WVQ) image compression algorithms. Exploration of adaptive basis functions for radar signal characterization and target identification, funded by the U.S. Army and SIUE.

8) Research and development of frequency domain image restoration filters. Empirical optimization approaches, funded by SIUE.

9) Research and development of algorithms for the automatic inspection of microdisplay devices, funded by Westar corporation.

10) Research and development for enhancement of the School of Engineering Robot, funded by the School of Engineering. Projects include: automatic face recognition, navigation, artificial intelligence applications.

11) Research and development for automatic analysis of stacked lumber images, funded by River City Software, Portsmith NH, "Lumber Bundle Analysis - Computer Vision Research”