Course
code CS455
credit_hours 3
title Digital Image Processing
arbic title
prequisites CS212, BA201
credit hours 3
Description/Outcomes This course emphasizes general principles of image processing, rather than specific applications. It covers topics such as image sampling and quantization, color, point operations, segmentation, morphological image processing, linear image filtering and correlation, image transforms, eigenimages, multiresolution image processing, wavelets, noise reduction and restoration, feature extraction and recognition tasks, and image registration.
arabic Description/Outcomes
objectives 1. Understand image processing, computer imaging systems, resolution concerns, and image formats.
2. Illustrate image digitization, image properties, and noise in images.
3. Realize image pre-processing enhancements: pixel brightness transformation, geometric transformations, and local filtering using masks.
4. Apply image segmentation: threshold based, edge-based, region based, and matching.
5. Understand shape representation and description.
6. Apply mathematical morphology
7. Introduce classification and recognition in image analysis
8. Implement a computer program on Matlab or Python to for an image analysis application
9. Present a framework for an image analysis application pipeline
arabic objectives
ref. books 1. Rafael Gonzalez, Richard Woods, and Steven Eddins, Digital Image Processing using Matlab, Gatermark Publishing.
2. Chris Solomon & Toby Breckon, Fundamentals of Digital Image Processing: A Practical Approach,Wiley.
arabic ref. books
textbook Rafael C. Gonzalez , Richard E. Woods, Digital Image Processing, Pearson.
arabic textbook
objective set
content set
course file 4_CS455_CS455 - Digital Image Processing.pdf
Course Content
content serial Description