Digital Image Processing for BS program

The aim of this course is to understand the main terms & concepts of image processing systems & their techniques.

Things you will cover in this  course:

• Digital Imaging.
• Image analysis and filtering.
• Restoration in the Presence of Noise Only–Spatial Filtering,
• Mean Filters,
• Order-Statistics Filters, 
• Adaptive Filters,
• Periodic Noise Reduction by Frequency Domain Filtering,
• Bandreject Filters, 
• Bandpass Filters,
• Notch Filters.
• Estimating the Degradation Function,
• Estimation by Image Observation,
• Estimation by Experimentation,
• Estimation by Modeling,
• Inverse Filtering,
• Minimum Mean Square Error (Wiener) Filtering.
• Image Segmentation,
• Detection of Discontinuities,
• Point Detection,
• Line Detection,
• Edge Detection,
• Edge Linking and Boundary Detection,
• Local Processing,
• Global Processing via the Hough Transform.
• Thresholding,
• The Role of Illumination,
• Basic Global Thresholding,
• Basic Adaptive Thresholding,
• Local Thresholding,
• Thresholds Based on Several Variables.
• Region-Based Segmentation,
• Region Growing, Region Splitting and Merging.

Reference material:

1. “Computer Graphics, Principles and Practice,” J. D. Foley, A. van Dam, S. K.     Feiner and J. F. Hughes, Addison-Wesley ISBN: 0-201-12110-7.

2. “Computer Graphics”, F.S.Hill, Maxwell MacMillan ISBN: 0-02-354860-6.

3. “Interactive Computer Graphics: Functional, Procedural and Device-level methods”, Peter Burger and Duncan. F. Gillies; Addison-Wesley, (2003)

Other Information:

Course code:  a

Prerequisites:  None

Credit Hours:  3

Lectures: 2

Labs:      1