Morphological Image Analysis for Computer Vision Applications
作者： Y.V. Vizilter , Y.P. Pyt’ev , A.I. Chulichkov , L. M. Mestetskiy
DOI: 10.1007/978-3-319-10653-3_2
关键词: Image (mathematics) 、 Computer vision 、 Change detection 、 Computer science 、 Granulometry 、 Artificial intelligence 、 Computational geometry 、 Image segmentation 、 Representation (mathematics) 、 Mathematical morphology 、 Computation
摘要: Some original and novel morphological concepts tools are presented in this chapter as well required amount of mathematical basics. The continuous binary morphology based on a computational geometry is very fast approach to shape representation via real-time computation figures’ skeletons. A skeletal the figure formed skeleton graph, radial function determined points. proposed spectrum multi-scale description analysis granulometry. It shown how tasks change detection matching images can be solved using image analysis. projective generalized framework provides efficient solutions segmentation problem complex images.
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