Percolation Features: An approach for evaluating fractal properties in colour images[Formula presented]
Percolation is a physical phenomenon that describes the transport of fluids through porous media. We present a new approach for extracting local and global percolation features from RGB images. The proposed method is based on multiscale and multidimensional approaches for extracting other fractal me...
| Autores: | , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista (UNESP) |
| Repositorio: | Repositório Institucional da UNESP |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unesp.br:11449/241480 |
| Acceso en línea: | http://dx.doi.org/10.1016/j.simpa.2022.100387 http://hdl.handle.net/11449/241480 |
| Access Level: | acceso abierto |
| Palabra clave: | Feature extraction Fractal geometry Pattern recognition Percolation |
| Sumario: | Percolation is a physical phenomenon that describes the transport of fluids through porous media. We present a new approach for extracting local and global percolation features from RGB images. The proposed method is based on multiscale and multidimensional approaches for extracting other fractal measures from histology images. Our method is able to obtain three percolation properties: number of clusters, occurrence of percolation, and size of the largest cluster. This approach aimed to provide an alternative to fractal dimension and lacunarity as ways of evaluating fractal properties in an image. |
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