Prerequisite/Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Cameras capture visual data from the surrounding world. Building systems which can automatically process such data requires image processing methods. Students who complete the module will understand the nature of digital images and have an overview of different theories and methods within image processing and their applicability.

Learning objectives

Knowledge

Students who complete the course module will obtain the following qualifications:

• Must have knowledge about the primary parameters of the camera and lens
• Must have knowledge about the representation of a digital image
• Must be able to understand the general framework of image processing
• Must be able to understand and interpret image histograms
• Must be able to understand color images and their different representations
• Must be able to understand the principle of point processing
• Must be able to understand principle of neighborhood processing
• Must be able to understand what a BLOB is and how it can be extracted
• Must be able to understand how moving objects can be segmented in a video sequence

Skills

Students who complete the course module will obtain the following qualifications:

• Must be able to apply the following point processing methods: grey-level mapping, histogram stretching, thresholding and image arithmetic
• Must be able to apply the following neighborhood processing methods: median filter, mean filter and edge detection
• Must be able to apply the following morphologic operations: dilation, erosion, opening and closing
• Must be able to apply basic feature extraction and matching
• Must be able to apply image differencing and background subtraction
• Must be able to apply geometric transformations to an image

Competences

Students who complete the course module will obtain the following qualifications:

• Must be able to apply the general framework of image processing in a new context. This includes  choosing the relevant methods and evaluating the output
• Must be able to combine different morphologic operations and understand the resulting effect they have on a binary image

Type of instruction

Refer to the overview of instruction types listed in the start of chapter 3. The types of instruction for this course are decided in accordance with the current Framework Provisions and directions are decided and given by the Study Board for Media Technology.

Exam

Exams