A Generalised Approach to the use of Sampling for Rapid Object Location

Author:

Davies E.

Abstract

A Generalised Approach to the use of Sampling for Rapid Object LocationThis paper has developed a generalised sampling strategy for the rapid location of objects in digital images. In this strategya prioriinformation on the possible locations of objects is used to guide the sampling process, and earlier body-based and edge-based approaches emerge automatically on applying the righta prioriprobability maps. In addition, the limitations of the earlier regular sampling technique have been clarified and eased—with the result that sampling patterns are better matched to the positions of the image boundaries. These methods lead to improved speeds of operation both in the cases where all the objects in an image have to be located and also where the positions of individual objects have to be updated. Finally, the method is interesting in being intrinsically able to perform full binary search tree edge location without the need for explicit programming.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference18 articles.

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3. Lateral histograms for efficient object location: Speed versus ambiguity;E. Davies;Pattern Recognition Letters,1987b

4. A modified Hough scheme for general circle location;E. Davies;Pattern Recognition Letters,1988

5. Lower bound on the processing required to locate objects in digital images;E. Davies;Electronics Letters,1997

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