Skeleton extraction based on the topology and Snakes model
| Autor: | Chengguo Ming, Yuanxue Cai, Yueting Qin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
General Physics and Astronomy Flux Topology (electrical circuits) 02 engineering and technology Skeleton (category theory) Physics and Astronomy(all) Topology 01 natural sciences lcsh:QC1-999 010309 optics Distribution (mathematics) Computer Science::Computer Vision and Pattern Recognition 0103 physical sciences Line (geometry) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Topological skeleton Vector field Eigenvalues and eigenvectors lcsh:Physics |
| Zdroj: | Results in Physics, Vol 7, Iss, Pp 373-378 (2017) |
| ISSN: | 2211-3797 |
| Popis: | A new skeleton line extraction method based on topology and flux is proposed by analyzing the distribution characteristics of the gradient vector field in the Snakes model. The distribution characteristics of the skeleton line are accurately obtained by calculating the eigenvalues of the critical points and the flux of the gradient vector field. Then the skeleton lines can be effectively extracted. The results also show that there is no need for the pretreatment or binarization of the target image. The skeleton lines of complex gray images such as optical interference patterns can be effectively extracted by using this method. Compared to traditional methods, this method has many advantages, such as high extraction accuracy and fast processing speed. Keywords: Skeleton, Snakes model, Topology, Photoelasticity image |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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