Engineering

ECMM104 - Signal Analysis and Image Processing (2010)

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MODULE TITLESignal Analysis and Image Processing CREDIT VALUE15
MODULE CODEECMM104 MODULE CONVENERProf Mike Belmont (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS
Number of Students Taking Module (anticipated)
DESCRIPTION - summary of the module content
AIMS - intentions of the module
To provide directly applicable professional engineering level skills in the areas of causal and non-causal time series processing and non-causal spatial image processing.
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)
SYLLABUS PLAN - summary of the structure and academic content of the module
Detailed quantitative effects of sampling and windowing of continuous functions by arbitrary sample comb and window functions, design of discrete algorithms to minimise the effects of sampling and windowing in a controlled manner, application of orthogonal and non-orthogonal function sets to represent data, including FAST algorithm realisations, local and globally stationary data, selection and application of appropriate function sets to represent such data. Examples covered include Fourier, Gabor and Wavelet transforms. De-noising and data compression techniques. Implementation of 1D causal and 2 D non-causal linear filters, including FIR and IIR and using frequency domain methods. Application of low level pixel based operations on images, including modifying image statistics using techniques such as Histogram Renormalisation. Adaptive line detection techniques. Correlation mask techniques for object identification and parameterisation. Self-Similar systems. Application of above techniques to achieve Image Segmentation. Compression. Signal Synthesis.
LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities Guided Independent Study Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
SUMMATIVE ASSESSMENT (% of credit)
Coursework 100 Written Exams 0 Practical Exams
DETAILS OF SUMMATIVE ASSESSMENT
DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
RE-ASSESSMENT NOTES
RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Gonzalez R C and Woods R E Digital Image Processing 3rd Addison, Wesley 2007 978-0135052679 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES ECM2117, ECM2105, ECM2111
CO-REQUISITE MODULES
NQF LEVEL (FHEQ) M AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Thursday 15 December 2011 LAST REVISION DATE Thursday 15 December 2011
KEY WORDS SEARCH None Defined