HIERARCHICAL ALGORITHMS FOR MORPHOLOGICAL IMAGE-PROCESSING

One drawback of the morphological image processing technique is its lo ng computation time when run on a general purpose sequential computer. While prior research on improving the computation time for morphologi cal processing has focused on using specialized hardware architecture, we propose to reduce the computation time by using a hierarchical dat a structure. In this paper, techniques and algorithms for performing m orphological image processing based on the proposed approach are prese nted. Experimental results demonstrate that a substantial speed up in computation time can be obtained using the proposed method.