Course Details in 2018/19 Session

Module Title	LC Digital Image Processing and Analysis
School	Computer Science
Department	Computer Science
Module Code	06 30407
Module Lead	TBC
Level	Certificate Level
Credits	20
Semester	Semester 2
Pre-requisites
Co-requisites
Restrictions	None
Contact Hours	Lecture-20 hours Demonstration-7 hours Work based learning-88 hours Guided independent study-85 hours Total: 200 hours
Exclusions
Description	This course will cover the fundamentals and practical application of digital image processing. The topics include: - Image formation: from a physical scene to a digital image; - Colour images: human colour perception and digital representations; - Improving image quality: de-noising, de-blurring, contrast enhancement; - Image segmentation: partitioning the scene into meaningful objects; - Detection, counting and localising: what and where of image objects; - Image registration: how to align or stitch images together; - Beyond colour: multispectral images; - Applications (e.g. medicine, biology, remote sensing, astronomy, food, forensics) - Overview of advanced topics
Learning Outcomes	By the end of the module students should be able to: Describe the basic concepts of image processing and image analysis. Discuss the advantages and drawbacks of different methods. Make informed choices about what methods to apply to solve specific image processing problems. Use image processing tools to carry out simple practical image processing tasks.
Assessment
Assessment Methods & Exceptions	Assessment: Three MCQ tests (15% each), 1.5hr examination (55%). Reassessment: By examination only
Other	Duplicate of Birmingham-based module 28732
Reading List