基于格點拓撲的數(shù)字圖像分析
[Abstract]:Topology is one of the most important methods in digital image analysis. In this paper, 3D digital image analysis based on lattice topology (M- topology) is studied. In order to realize the image transformation, we naturally consider the M-continuous mapping and M-homeomorphism associated with the lattice topology. However, these mappings are obviously somewhat rigid in digital image analysis. Some of the common rotation and translation transformations are not even M-continuous mapping. In order to analyze digital image more effectively, the concepts of MA-mapping and MA-isomorphism are introduced in this paper. On this basis, M-adjacency category is defined and compared with the other two categories. The equivalent classification of several simple closed digital curves in these categories is discussed. In this paper, we prove that the M-adjacency relation on Z3 is equivalent to the MA-mapping on the digital 6-adjacency relation, and that MA-mapping is equivalent to the digital 6-continuous mapping. It is also a kind of mapping that preserves many kinds of connectedness. It is also a generalization of M- continuous mappings. MA-isomorphism is a generalization of M- homeomorphism. It is also proved that SCS _ M ~ (3s) and SCS _ S _ M ~ (3N ~ 2) are M- homomorphisms if and only if L _ 1 / L ~ (3L) represents a simple closed M- (MA) ~ (3L) curve with one element on ZT _ 3 and SC_ (MA) ~ (3L ~ 2) is MA-isomorphism if and only if L _ 1L ~ (3L) represents a simple closed MA-curve with one element on Zi _ 3. Finally, the MA-contraction mapping is defined for the reduction of 3D digital images, which is more effective than the contractive mapping in topological sense.
【學(xué)位授予單位】:河北師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:O189.11
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