Description

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.

Program

Artificial Intelligence 132 CRs

Objectives

  • - Understand image processing, computer imaging systems, resolution concerns, and image formats
    - Illustrate image digitization, image properties, and noise in images.
    - Realize image pre-processing enhancements: pixel brightness transformation, geometric transformations, and local filtering using masks.
    - Apply image segmentation: threshold based, edge-based, region based, and matching.
    - Understand shape representation and description.
    - Apply mathematical morphology.
    - Introduce classification and recognition in image analysis.
    - Implement a computer program on Matlab or Python to for an image analysis application.
    - Present a framework for an image analysis application pipeline.

Textbook

Rafael C. Gonzalez , Richard E. Woods, Digital Image Processing, Pearson

Course Content

content serial Description
1Introduction to DIP
2Image histograms
3Image enhancements using transformation
4Spatial filtering
5Morphological image processing part 1
6Morphological image processing part 2
7Image segmentation part 1
8Image segmentation part 2
9Feature extraction
10Feature extraction and classification part 1
11Classification part 2
12Image recognition part 1
13Image recognition part 2
14Projects Discussions
15Revision

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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