Morphological Image Analysis for Computer Vision Applications
| Autor: | Y.V. Vizilter, Alexey I. Chulichkov, L. M. Mestetskiy, Yu. P. Pyt’ev |
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| Rok vydání: | 2014 |
| Předmět: |
business.industry
Computer science Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image segmentation Mathematical morphology Computational geometry Image (mathematics) ComputingMethodologies_PATTERNRECOGNITION Granulometry Computer vision Artificial intelligence business Representation (mathematics) Change detection ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Computer Vision in Control Systems-1 ISBN: 9783319106526 |
| DOI: | 10.1007/978-3-319-10653-3_2 |
| Popis: | Some original and novel morphological concepts and tools are presented in this chapter as well as required amount of mathematical morphological basics. The continuous binary morphology based on a computational geometry is presented as a very fast approach to shape representation via real-time computation of figures’ skeletons. A skeletal representation of the figure is formed as a skeleton graph, and the radial function is determined in skeleton points. The proposed morphological spectrum is the multi-scale morphological shape description and analysis tools based on granulometry. It is shown how the tasks of change detection and shape matching in images can be solved using a morphological image analysis. The projective morphology as a generalized framework based on the mathematical morphology and the morphological image analysis provides fast and efficient solutions of morphological segmentation problem in complex images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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