9644 (v.4) Scientific Data Analysis 302

Area:

Department of Applied Physics

Credits:

25.0

Contact Hours:

3.0

** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. **

Lecture:

1 x 1 Hours Weekly

Laboratory:

1 x 2 Hours Weekly

Prerequisite(s):

3999 (v.4) Scientific Data Analysis 301 or any previous version

Syllabus:

The eye in image perception, modulation transfer function. Image enhancements, histograms, histogram modification, histogram equalisation, histogram specification and 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 and 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 and image mosaic. Image display, colour display system, colour map, palette, pseudocolour density slicing, colour systems, CIE, RGB and HSL. Multispectral images, remote sensing, applications, principal components, astronomical images. Other techniques, feature identification using image statistics, simulated, annealing andBoltzmann machine. Artificial neural networks - concepts, approach, weights and learning schemes.

** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. **

Field of Education:

010301 Physics

Funding Cluster:

08 - Engineering, Science, Surveying

SOLT (Online) Definitions*:

Informational
*Extent to which this unit or thesis utilises online information

Result Type:

Grade/Mark

Availability

Year	Location	Period	Internal	Partially Online Internal	Area External	Central External	Fully Online
2007	Bentley Campus	Semester 2	Y	Y

Area External	refers to external course/units run by the School or Department or offered by research.
Central External	refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially Online Internal	refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online	refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External