Richard T. Shann

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The Manchester Content Addressable Image Database is ageneric tool which has been designed for image informatics and computer vision problems. The system stores pre-compuied feature tokens, which are obtained by conventional processing of the input images, into a database which is accessed by a specialised query language (M VQL [1 ]). The M VQL is based on(More)
A new class of algorithms is described for the analysis of boundaries in a discrete image. The methods are based on well known methods of Gaussian filtering coupled with the use of numerical methods. Instead of the conventional discrete filter and exhaustive evaluation by convolution the filter output is computed only at points of interest. In addition(More)
A new class of oriented, curvature sensitive filters are introduced. These filters provide a low-level detection facility for noisy curves without a prior edge extraction stage. The application of these filters to the detection of Carboniferous Foraminifers (a type of microfossil found in plane rock sections) is described. A symbolic representation of the(More)