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9644 (v.4) Scientific Data Analysis 302


 

Area:

Department of Applied Physics

Credits:

25.0

Contact Hours:

3.0

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

Syllabus:

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.
 

Unit Outcomes:

On successful completion of this unit students will have gained familiarity with the fundamentals and applications of image processing in scientific data analysis and presentation and an understanding of image processing software, through direct experience with PC-based IDL computer language. A number of applications will have been explored in the laboratory using real and simulated data and successful students will have refined and developed material surpassing the set laboratory work and have improved their written scientific communication skills.

Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases.

Unit References:

No prescribed references.

Unit Texts:

Gonzales, R. C. and Woods, R. E., 1992, 'Digital Image Processing', Addison Wesley, Reading. Russ, J. C., 1999, 'The Image Processing Handbook', CRC Press, Boca Raton.
 

Unit Assessment Breakdown:

Laboratory (Workbook) 70%. Final Examination 30 %.

Field of Education:

 10300 Physics and Astronomy (Narrow Grouping)

HECS Band (if applicable):

2  

Extent to which this unit or thesis utilises online information:

 Informational  

Result Type:

 Grade/Mark


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 2Y  

Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area

 
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