Authorised by Academic Registrar, April 1996
Objectives On successfully completing this subject a student should have a working knowledge of digital image formation and the representation of digital data; be familiar with the complexities of the human vision system; understand the problems associated with pattern recognition and machine vision; be able to design and implement linear filters in 1D; be familiar with non-linear filtering and morphological operations; be acquainted with the methods of Hough and distance transforms and the representation of digital images in these domains; understand how to reconstruct images from projections and the significance of this process in tomography; be able to apply image processing to selected areas of science, technology and medicine.
Synopsis Image formation and visual perception. Input devices. The CCD camera. Video formats. Image acquisition hardware. Analog to digital conversion, digitisation, the sampling theorem and aliasing. Review of digital image processing. Algebraic and geometrical operations. Applications in medical imaging and electron microscopy. Digital filter design. Applications in speech processing. The Hough and distance transforms. Image reconstruction from projections: sinogram and Radon space, computed tomography. Characterisation of shape; chain codes and Fourier descriptors. Mathematical morphology and non-linear filtering. Applications in pattern recognition and machine vision.
Assessment Examination (2 hours): 50% + Laboratory work: 50%