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CS6183 Image Computing
Part I Course Duration: One semester Course Aims Course Intended Learning Outcomes (CILOs) No. CILOs Weighting 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) Teaching pattern: CILO No. TLAs Hours/week 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 CILO No. Type of Assessment Tasks/Activities Weighting 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. 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. 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. Grading of Student Achievement: Refer to Grading of Courses in the Academic Regulations Part III Keyword Syllabus: Image transform and Sampling theory. Image segmentation - edge detection. Line detection. Thresholding: Region growing. 3D Computer graphics. Image Processing - Computer Graphics Applications of Image Computing Related Links
Department of Computer Science |
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