Image Processing (P01761)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : EEL-P-PGIP

Students study elements of image processing theory and application through the application of signal processing techniques.
Introduction: Human and Computer Vision Systems, Images and Image sampling, Transform; Basic Image Processing Operations: Histograms, Group Operations, Statistical Operators; Low-Level feature Extraction: First-order edge detection operators, Second-order edge detection operators;
Feature Extraction by Shape Matching: Thresholding and Subtraction, Template Matching, Hough Transform, Generalised Hough Transform; Flexible Shape Extraction: Deformable Templates, Snakes, Discrete Symmetry Operator, Flexible Shape Models; Object description: Shape and region descriptors, Boundary descriptions, Region descriptors; Texture, segmentation and classification: Texture measures structural and statistical, Classification approaches, Principal components analysis

? Keywords : image signal processing, feature extraction, segmentation and classification, transforms

Entry Requirements

? Pre-requisites : It is recommended that students have previously attended undergraduate level courses in "Signals and Systems" and "Digital Signal Processing"

? Costs : Compulsory book purchase: Feature Extraction and Processing Mark Nixon and A. Aguado Butterworth Heinmann/ Newnes, now Elsevier 2002

Subject Areas

Home subject area

Postgraduate (School of Engineering and Electronics), (School of Engineering and Electronics, Schedule M)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 3 hour(s) per week for 10 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
19/09/2007	11:10	12:00			Sanderson Drawing Office

All of the following classes

Type	Day	Start	End	Area
Lecture	Wednesday	11:10	12:00	KB
Lecture	Thursday	11:10	12:00	KB
Tutorial	Thursday	12:10	13:00	KB

Summary of Intended Learning Outcomes

The students should enhance their skills in signal processing theory and applications and become familiar with techniques and processes that are applied to images.