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Study-Unit Description
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CODE CCE3205

 
TITLE Computer Vision

 
LEVEL 03 - Years 2, 3, 4 in Modular Undergraduate Course

 
ECTS CREDITS 6

 
DEPARTMENT Communications and Computer Engineering

 
DESCRIPTION The study-unit will introduce the techniques commonly used in Computer Vision. This includes image acquisition, image enhancement, filtering and image segmentation. This unit provides the theoretical foundations and the skill to choose both the necessary equipment and also the algorithms required for practical applications. This study-unit will also introduce pattern recognition techniques that are broadly used in Computer Vision applications, such as games and video surveillance.

Study-unit Aims

- To introduce the basic techniques used in image processing and computer vision to extract information from an image and to enhance its quality.
- To provide the theoretical foundations of image analysis and computer vision.
- To introduce the fundamental principles in pattern recognition which are used in a wide range of disciplines including computer vision.

Learning Outcomes

1. Knowledge & Understanding:

By the end of the study-unit the student will be able to:
- Enhance the quality of an image and extract information from an image such as object segmentation.
- Explain the principles and implement Intensity transforms, Spatial filtering, Frequency domain filtering, morphological image processing and image segmentation.
- Understand how pattern recognition is used, how to derive optimal features and how these features are used to solve a particular problem.
- Understand the mathematical foundations of pattern recognition.

2. Skills:

By the end of the study-unit the student will be able to:
- Select image, pre- and post processing algorithms required to solve a particular problem.
- Develop software that can be used to detect objects and solve problems.
- Apply pattern recognition algorithms to solve practical tasks.

Main Text/s and any supplementary readings

- Rafael Gonzales, Richard E. Woods, Digital Image Processing, Prentice Hall, 2002.
- Richard O. Duda, Peter E. Hart, David G. Stock, Pattern Classification, Wiley and Sons, 2000.

 
RULES/CONDITIONS Before TAKING THIS STUDY-UNIT YOU MUST TAKE CCE1203
Before TAKING THIS STUDY-UNIT YOU ARE ADVISED TO TAKE CCE2202

 
STUDY-UNIT TYPE Lecture, Independent Study, Practicum & Tutorial

 
METHOD OF ASSESSMENT
Assessment Component/s Resit Availability Weighting
Assignment Yes 100%

 
LECTURER/S George Azzopardi
Michael Camilleri
Adrian F. Muscat (Co-ord.)

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.
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