On Integer Programming Approaches for Morphological Template Decomposition Problems in Computer Vision |
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Authors: | P Sussner PM Pardalos GX Ritter |
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Institution: | (1) University of Florida, Gainesville, FL, 32611 |
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Abstract: | In morphological image processing and analysis, a template or structuringelement is applied to an image. Often savings in computation time and abetter fit to the given computer architecture can be achieved by using thetechnique of template decomposition. Researchers have written a multitude ofpapers on finding such decompositions for special classes of templates.Justifying recent integer programming approaches to the morphologicaltemplate decomposition problem in its general form, this paper proves theNP-completeness of this problem. |
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Keywords: | computer vision mathematical morphology template decomposition complexity integer programming |
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