Developing Computer Vision Applications Part 2:
Computer Vision in Depth

Date: TBA

Duration: 41 Hours

Course Objectives

This course covered Computer Vision in depth and to equip the participant with the skills to develop CV Applications using open source tools and work on images.

This module is part of Professional Certificate in Developing Computer Vision Applications II.


At the end of the course, the participants will be able to:

  • Mathematical Foundations
  • Image Acquisition
    • Image formation: visible light, other EM spectrum
    • Color spaces
    • image compression
  • Point processing
    • Histogram equalization, Contrast enhancement
  • Neighborhood processing
    • Convolution, Edge detection, Blurring, Noise filtering
  • Geometric transformations
    • Affine transformations, Homographies
  • Machine Learning Algorithms – Classification & Regression
    • Training, testing, validation, feature extraction
  • Machine Learning Algorithms – Deep Learning

Who Should Attend

Computer Vision Engineers and Specialists

Course Conveners

(Click their photos to view their short biographies)

ddddd Natarajan Prabhu

Dr Natarajan PrabhuDr Natarajan Prabhu

ccccc Terence Sim

Assoc Prof Terence SimAssoc Prof Terence Sim

ccccc Ng Teck Khim

Assoc Prof Ng Teck KhimAssoc Prof Ng Teck Khim

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Code:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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