9644 (v.4) Scientific Data Analysis 302
Area: | Department of Applied Physics |
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Credits: | 25.0 |
Contact Hours: | 3.0 |
Tuition Patterns: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
Lecture: | 1 x 1 Hours Weekly |
Science Laboratory: | 1 x 2 Hours Weekly |
Prerequisite(s): |
8127 (v.6)
Advanced Calculus 201
or any previous version
AND 310984 (v.2) Scientific Computing 101 or any previous version OR 1920 (v.8) Object Oriented Program Design 110 or any previous version AND 312508 (v.1) Waves and Oscillations 202 or any previous version OR 7907 (v.6) Particles and Waves 201 or any previous version |
Syllabus: | Introduction to image processing: image sampling, spatial resolution, intensity (grey scale), resolution, the eye in image perception. Image enhancements, histograms, histogram modification. Image transforms, Fourier transform, discrete Fourier transform, the Fast Fourier Transform (FFT) two dimensional, FFT. Other image transforms (Walsh, Hadamard, Principal component, analysis). Digital filtering, Filter kernals, neighbourhood filters, thresholding filters, gradient filters, Laplacian filters, image, sharpening, directional illumination, filters, high and low pass filters. Geometrical distortion correction, image mosaic. Image display, colour display system, colour map, palette, pseudocolour density slicing, colour systems, CIE, RGB, HSL. |
Unit references, texts, outcomes and assessment details | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
Field of Education: | 010301 Physics |
Result Type: | Grade/Mark |
Availability
No current availability exists. It may that this is planned for a future year or a decision has been made to not offer it currently. Contact the School or Area listed above for further information.
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