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IF25-40410

Digital Image Processing

  • 2025 Curriculum

Description

This course prepares students to explain the formation and representation of digital images, apply image enhancement and image segmentation techniques, and implement image feature extraction for image analysis. Study materials: Data Management (DM).

Topics

  1. Formation and representation of digital images
  2. Pixel operations and histograms
  3. Image enhancement in the spatial and frequency domains
  4. Edge detection
  5. Image segmentation
  6. Image morphology
  7. Image feature extraction

Course Learning Outcomes (CLO)

Each course outcome derives from one programme outcome.

  1. CPMK-AIDE-02

    Students are able to build an applied decision basis by optimising computing performance through simultaneous processing, and apply the principles of computing ethics

    CPLP03
  2. CPMK-AIDE-01

    Students are able to design and implement advanced artificial intelligence modelling to analyse diverse large-volume data through the management of structured data storage infrastructure.

    CPLP03

Supported PLOs

CPLP03
Develop advanced artificial intelligence models and manage big data, and build applied decision support with attention to optimal performance and computing ethics.

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