Abstract
Mathematical morphology is widely applicated in digital image procesing. Variary morphology construction and algorithm being developed are used in deferent digital image processing. The basic idea of mathematical morphology is to use construction element measure image morphology for solving understand problem. The article presented advanced cellular neural network that forms mathematical morphological cellular neural network (MMCNN) equation to be suit for mathematical morphology filter. It gave the theories of MMCNN dynamic extent and stable state. It is evidenced that arrived mathematical morphology filter through steady of dynamic process in definite condition.
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