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SUSAN -- A New Approach to Low Level Image Processing

Technical Report TR95SMS1c

(Shorter versions have now been published in IJCV [66] and ICPR96 [64],
and the relevant patent is [60]. To reference this research, cite [66])

S.M. Smith

Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB),

Department of Clinical Neurology, Oxford University, Oxford, UK
(Previously in Computer Vision and Image Processing Group, DRA Chertsey, DERA, UK) steve

J.M. Brady

Department of Engineering Science, Oxford University, Oxford, UK


This paper describes a new approach to low level image processing; in particular, edge and corner detection and structure preserving noise reduction.

Non-linear filtering is used to define which parts of the image are closely related to each individual pixel; each pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature detectors are based on the minimization of this local image region, and the noise reduction method uses this region as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast.

Details of the new feature detectors and of the new noise reduction method are described, along with test results.

Keywords: edge detection, feature detection, univalue areas, noise reduction, smoothing.

© Crown Copyright (1995), Defence Research Agency, Farnborough, Hampshire, GU14 6TD, UK

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