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.

Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information.

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 %.

Year	Location	Period	Internal	Area External	Central External
2004	Bentley Campus	Semester 2	Y