| Credit Hours: |
3-0-3 |
| Prerequisites: |
Graduate Standing in engineering or related discipline |
| Catalog Description: |
Design of algorithms for vision systems for manufacturing, farming, construction, and the service industries. Image processing, optics, illumination, feature representation. |
| Textbooks: |
David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach, 1st Edition, Pearson Education, 2002 |
| Instructors: |
Kok-Meng Lee |
| Topics: |
- Introduction to machine vision concepts
- Image Formation (image model and imaging devices)
- Vision signal processing, acquisition, and conversation
- Image enhancement
- Histogram-modification
- Image filter and smoothing
- Image Segmentation
- Labeling
- Gradient operator and detection of discontinuity (point, line, edge)
- Hough transform method for curve detection
- Graphic theoretic technique
- Edge linking and boundary detection
- Region-growing segmentation
- Morphological processing
- Feature and boundary representation
- Model based pattern matching
- Geometric transformation, camera model, parameter and coordinate calibration
- Motion, optical flow and image sequences
- Machine vision design case studies
(electronics, illumination and structure light, reflectance and color, geometrical optics, algorithms)
|
| Grading Scheme (%): |
Assignments |
40 |
In class quiz |
20 |
Final Group Project |
40 |
|
