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Curtin University

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Scientific Data Analysis 302

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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,... -- Course Website

Prerequisites: 8127 (v.6)<br/> Advanced Calculus 201<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/> AND<br/><br/> <br/>    <br/> 310984 (v.2)<br/> Scientific Computing 101<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/>     OR<br/><br/> <b



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