1 April 1994 Evaluation of an application-independent image information system
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The Manchester Content Addressable Image Database (CAID) is a generic tool which has been designed for image informatics and computer vision problems. The system stores pre- computed feature tokens, which are obtained by conventional processing of the input images, into a database which is accessed by a specialized query language (MVQL). MVQL extends the usual notion of a query language to include creation and refinement of groupings based on the stored attributes of the pre-computed features, and these groupings can be continued in a nested fashion. The aim of this paper is to report on two recent application studies. The first study concerns the automatic registration of volume MR data sets. This is achieved entirely within the CAID environment (i.e., as a database query) using only a short MVQL specification. The method used is based on curve token correspondence and an exhaustive search of transformation space. Some results on the estimated accuracy of the result will be included. The second application is concerned with the classification of microfossil images into morphological groups. Preliminary work on detecting microfossil structures was reported in Shann et al. Here we address the problem of classifying detected structures into six broad morphological groups. This is achieved using MVQL to define `structure' measures from the distribution of curve tokens in a circular region around each microfossil. The results are surprisingly good considering the very limited feature evidence used. Both application studies confirm the general applicability of the CAID structure and its query language.
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John P. Oakley, John P. Oakley, Darryl Davies, Darryl Davies, Richard T. Shann, Richard T. Shann, Costas S. Xydeas, Costas S. Xydeas, } "Evaluation of an application-independent image information system", Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); doi: 10.1117/12.171768; https://doi.org/10.1117/12.171768

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