2005/06 Undergraduate Module Catalogue
PHYS3410 Digital Image Processing
10 creditsClass Size: 100
Module manager: Dr J Knapp
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2005/06
This module is approved as an Elective
ObjectivesAt the end of the module students should be able to:
- explain the basic elements and concepts of digital images processing;
- describe the hardware components and computer architectures being used in image processing;
- explain and apply different ways of recovering information from images and minimising noise;
- discuss and apply various image compression algorithms;
- describe and apply the basic techniques of statistical decision making and pattern recognition.
Elements of digital image processing: analogue to digital conversion, real-time image capture, scanners, CCDs, image representation, image formats.
Computer networks: serial and parallel processing, network topologies matching to applications, pipelines, arrays.
Image enhancement: Greylevel and colour mapping, convolution and correlation, filtering, deconvolution.
Image segmentation: Line detection, thresholding, and connectivity.
Image transforms: Fourier, Hough and wavelet transforms, image compression.
Pattern recognition: features, classification, moments and geometrical object detection, Bayesian theorem, statistical and non-parametric density estimation, multidimensional analysis techniques.
Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for informationLectures: 22 x 1 hour.
Private studyComputer applications, revision and teaching: 78 hours.
Opportunities for Formative FeedbackExam.
Methods of assessment
Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information1 x 2 hour written paper at the end of the semester: 100%.
Reading listThe reading list is available from the Library website
Last updated: 19/04/2005
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