Decomposition techniques for gray-scale morphological templates

Template decomposition techniques can be useful for improving the efficiency of image processing algorithms. The improved efficiency can be realized either by reorganizing a computation to fit a specialized structure such as an image processing pipeline or by reducing the number of operations used. In this paper two techniques for decomposing templates with respect to gray-scale morphological operations are presented. One of the techniques can be also be applied to binary templates as well.

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