Gain knowledge about the creation, representation and basic processes of digital images.
Understands basic image processing algorithms such as image enhancement, filtering, segmentation, and object recognition.
Gain the ability to develop image processing algorithms using programming languages such as MATLAB or Python.
Mode of Delivery
Face to face
Prerequisites
No
Recommended Optional Programme Components
None
Course Description
To teach the basic concepts, methodologies and applications of image processing techniques. It covers the basics of image processing, image processing algorithms, and software development on image processing.
Course Contents
WEEK
TOPICS
1st Week
Introduction to image processing
2nd Week
Image basics, natural and machine vision, image acquisition devices and the way they work, image formation and digitization
3rd Week
Programming fundamentals in image processing
4th Week
Digital image processing and geometric transformations
5th Week
Image pre-processing and filtering techniques
6th Week
Object detection
7th Week
Edge finding techniques
8th Week
Midterm Exam
9th Week
Morphological operations
10th Week
Segmentation process
11th Week
Feature extraction and object recognition
12th Week
Object recognition with template mapping
13th Week
Object tracking and background extraction method
14th Week
Detection of colored objects, RGB and HSV color modes and conversions
Recommended or Required Reading
***If you feel the need for academic accommodations due to your disability, please contact the instructor of the course.
Planned Learning Activities and Teaching Methods
Lecture
Questions/Answers
Problem Solving
Practice
Assessment Methods and Criteria
Quantity
Percentage (%)
Mid-term
1
40
Total(%)
40
Contribution of In-term Studies to Overall Grade(%)
40
Contribution of Final Examination to Overall Grade(%)
