A new algorithm of the non-Euclidean distance transform with raster scanning value propagation is developed. In this algorithm, a single access to some analyzed pixels is sufficient to obtain their final values, while double processing of every pixel is necessary in other algorithms, of this type. In addition to a raster image, interval coding is used to speed up a processing. This representation does not take much memory space. An application of the proposed distance transform algorithm for object shape reconstruction from disconnected blobs (text symbols are chosen as an example) is given. As compared to the standard raster scanning algorithm, a speed-up factor of 1.3 - 1.4 is obtained, while reconstruction results are the same in both cases.
Proceedings of SPIE – SPIE
Published: Sep 30, 1996
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