A new approach for image thinning
In this paper we presented a novel, general purpose thinning method with emphasis on symmetry. The proposed algorithm is of iterative character. We achieved better skeleton structure by splitting the method into 3 stages, each with a different thinning strength. We introduced an image designed for t...
- Autores:
-
Milewski, Patryk
Saeed, Khalid
- Tipo de recurso:
- Conferencia (Ponencia)
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/14060
- Acceso en línea:
- https://hdl.handle.net/11323/14060
https://repositorio.cuc.edu.co/
- Palabra clave:
- Skeletonization methodologies
Implementation
Thinning method
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
| Summary: | In this paper we presented a novel, general purpose thinning method with emphasis on symmetry. The proposed algorithm is of iterative character. We achieved better skeleton structure by splitting the method into 3 stages, each with a different thinning strength. We introduced an image designed for testing the thinning algorithms and the results of various skeletonization methodologies. Our tests show the proposed algorithm outperforms the current state-of-the-art methods in accuracy and symmetry. We provided implementation details and showed how the performance of the method was increased. Thinning is a basic stage in image segmentation and hence feature extraction for object recognition. Both the test image and the implementation of our method will be made publicly available. |
|---|