Image segmentation by iterative parallel region growing with applications to data compression and image analysis

An iterative parallel segmentation algorithm, which avoids the problem of dependency on the order in which portions of the image are processed by performing the globally best merges first, is presented. The segmentation approach and two implementations of the approach on a massively parallel processor (MPP) are discussed. Application of the segmentation approach to data compression and image analysis is described, and results of the application are given for a Landsat thematic mapper image.<
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