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Image pre-processing research of coal level in underground coal pocket

Image pre-processing research of coal level in underground coal pocket
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摘要 Mathematical morphology is widely applicated in digital image procesing.Vari- ary morphology construction and algorithm being developed are used in deferent digital image processing.The basic idea of mathematical morphology is to use construction ele- ment 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 theo- ries of MMCNN dynamic extent and stable state.It is evidenced that arrived mathematical morphology filter through steady of dynamic process in definite condition. 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.
作者 吴冰 高娜
出处 《Journal of Coal Science & Engineering(China)》 2008年第1期162-164,共3页 煤炭学报(英文版)
关键词 图象处理 煤矿 地下煤 上煤器 coal level, pre-processing image, stability, neural network
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