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Abstract
The design of a specialized image analyser to investigate wear particles is described. An automatic grey-level threshold selection method identifies particles from the background. The entire image is enhanced through iterative relaxation labelling. A size distribution of particles within the field of view is produced. The shape of isolated particles can be processed to reveal useful quantitative data that is not produced from human visual examination. Border curvature of these particles is examined as a means of automatic particle recognition. Various aspect ratio measurements, including Fourier descriptors, are also considered. These morphological measurements are used to classify particles into established groups. A number of descriptors such as these are used to form the foundations of a diagnostic expert system.
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