CS6183 Image Computing

Part I

Course Duration: One semester
Credit Units: 3
Level: P6
Medium of Instruction: English
Prerequisites: Nil
Precursors: Nil
Equivalent Courses: IT6901 Image Computing
Exclusive Courses
: Nil 

Part II

Course Aims
This course aims to provide conceptual and theoretical foundations on some key issues in image processing and 3D computer graphics which are two of the enabling technologies for multimedia, CAD, and computer vision systems.

Course Intended Learning Outcomes (CILOs)
Upon successful completion of this course, students should be able to:

No.

CILOs

Weighting
(if applicable)

1.

identify the main characteristics of different image processing and computer graphics techniques;

 

2.

implement selected image processing and computer graphics algorithms;

 

3.

assess different image computing approaches in terms of their merits and shortcomings;

 

4.

apply suitable image computing approaches to develop an application in the areas of multimedia, CAD and computer vision.

 

Teaching and Learning Activities (TLAs)
(Indicative of likely activities and tasks designed to facilitate students’ achievement of the CILOs. Final details will be provided to students in their first week of attendance in this course)

Teaching pattern:
Suggested lecture/tutorial/laboratory mix: 2 hrs. lecture; 1 hr. tutorial.

CILO No.

TLAs

Hours/week
(if applicable)

CILO 1,3,4

Lecture: The lecture will focus on the introduction of image processing and computer graphics techniques, and their relations to the areas of multimedia, CAD and computer vision.

 

CILO 3,4

Tutorial: Students are required to complete a set of exercise questions, and to present their solutions in the class.

 

CILO 2,4

Project: The students will apply suitable image computing approaches to develop an application in the areas of multimedia, CAD or computer vision.

 

Assessment Tasks/Activities
(Indicative of likely activities and tasks designed to assess how well the students achieve the CILOs. Final details will be provided to students in their first week of attendance in this course)

   Examination duration:
 2 hours
  
Percentage of coursework, examination, etc.:  30% CW; 70% Exam

CILO No.

Type of Assessment Tasks/Activities

Weighting
(if applicable)

Remarks

CILO 1

Coursework: The ability of students to propose suitable solutions to the exercise questions in the tutorials will be used to assess this ILO.
Examination: Final examination will include questions to assess the capability of students to identify the main features of different image computing approaches.

 

 

CILO 2

Coursework: In the project, students are required to implement different image computing algorithms.  The effectiveness of the implemented algorithms will be used to assess this ILO.

 

 

CILO 3

Coursework: In the tutorial exercises, students are required to evaluate different image computing approaches in terms of their effectiveness and efficiency.  The quality of their evaluations will be used to assess this ILO.
Examination: Final examination will include questions to assess the capability of students to critically compare different image computing approaches.

 

 

CILO 4

Coursework: In their projects, students are required to design an application in the areas of multimedia, CAD or computer vision. Their capability to apply suitable image computing approaches to the development of a particular application will be used to assess this ILO.
Examination: Final examination will include questions to assess the capability of students to judiciously combine suitable image computing approaches to solve a real-world problem.

 

 

Grading of Student Achievement: Refer to Grading of Courses in the Academic Regulations
Grading pattern: Standard (A+, A, A-…F)
For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.
   

Part III

Keyword Syllabus:

Image transform and Sampling theory.  Image segmentation - edge detection.  Line detection.  Thresholding:  Region growing.  3D Computer graphics.

Syllabus
 
-

Image Processing
Sampling theory, image transform, image enhancement, image segmentation and analysis.

-

Computer Graphics
3D transformations,  projection,  clipping,  object modeling,  rendering. 

-

Applications of Image Computing
Applications of image computing approaches in different areas such as multimedia, CAD and computer vision.

 

Related Links
Department of Computer Science