Courses / Module

Toggle Print

Module COMPUTER VISION

Module code: CS410FZ
Credits: 5
Semester: 1
Department: INTERNATIONAL ENGINEERING COLLEGE
International: No
Overview Overview
 

In this course students will be introduced to the field of computer vision. The structure of the course will be to first provide an overview and motivation for each of the stages in a typical computer vision system. Each of these stages will then be addressed in turn, where a selection of problems, techniques and algorithms from each stage will be presented.

Although the content of the course may vary from year to year, the course will have a structure based on the following topics:
1. Introduction (human visual perception, basic principals of industrial machine vision systems).
2. Image formation (lenses, sensors, and signals, the geometry of imaging, camera modelling and calibration).
3. Binary image processing (image representations, segmentation, image moments, mathematical morphology, region representations).
4. Image filtering (convolution, frequency domain representations, noise removal filters).
5. Gradient based edge detection.
6. Selected topics in Image analysis (template matching, image based pattern recognition, shape detection, interest point detection & matching).

Open Learning Outcomes
 
Open Teaching & Learning methods
 
Open Assessment
 
Open Autumn Supplementals/Resits
 
Open Additional Reading
 
Open Timetable
 
Back to top Powered by MDAL Framework © 2022
V5.3.3 - Powered by MDAL Framework © 2022