PHS2431

Introduction to image processing

Dr Michael Morgan

4 points
* An average of two 1-hour lectures/tutorials and one 2-hour laboratory class per week
* First semester
* Clayton
* Prerequisites: Nil, but PHS1011 or PHS1031 is highly recommended
* Prohibition: CSC3140, GPS2012

Objectives On successfully completing this subject a student should have a working knowledge of digital image processing and the representation of digital data; be able to implement image processing operations to improve the quality of an image; understand the discrete convolution process and spatial filtering; be familiar with methods of representing data in the Fourier domain through the DFT; understand the processes of image segmentation, in particular texture segmentation; be able to apply image processing to selected areas of science, technology and medicine.

Synopsis Point operations: the gray scale histogram (GSH), thresholding, contrast operations, GSH equalisation, LUTs, pseudo-colouring. One-dimensional and two-dimensional spatial operations: discrete convolutions and spatial filtering. One-dimensional and two-dimensional Fourier transforms: the DFT and FFT. The discrete cosine transform. Introduction to other transforms. Image segmentation, feature extraction and pattern recognition. Texture analysis: Laws masks and texture segmentation, statistical models of texture analysis, co-occurrence matrices. Exact and approximate data coding and compression techniques.

Assessment Examination (2 hours): 50%
* Laboratory work: 50%

Prescribed texts

Gonzalez R C and Woods R E Digital image processing 3rd edn, Addison-Wesley, 1992