9644 (v.4) Scientific Data Analysis 302


 

Area:Department of Applied Physics
Contact Hours:3.0
Credits:25.0
Lecture:1 x 1 Hours Weekly
Laboratory:1 x 2 Hours Weekly
Prerequisite(s):7869 (v.3) Scientific FORTRAN Programming 152 or any previous version
AND
7905 (v.5) Mathematical Methods 202 or any previous version
the eye in image perception, modulation transfer function. Image Enhancements, Histograms, histogram modification, histogram equalisation, histogram specification, inverse transform. Image Transforms, Fourier transform, properties of the FT (Separability, translational, periodicity, rotational, scaling, convolution correlation), discrete Fourier transform, the Fast Fourier Transform (FFT) two dimensional, FFT. Other image transforms (Walsh, Hadamard). Digital Filtering, Filter kernels, 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. Multispectral Images, Remote sensing, applications, principal components, astronomical images. Other Techniques, Feature identification using image statistics, simulated, annealing, Boltzmann machine. Artificial Neural Networks - concepts, approach, weights, learning schemes.
YearLocationPeriodInternalArea ExternalCentral External
2003Bentley CampusSemester 2Y  

 

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