Cargando…
Superpixel Segmentation Based on Anisotropic Edge Strength
Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels. The kernels can capture the position, direction, prominence, and scale of the edge to be detected...
Autores principales: | Wang, Gang, De Baets, Bernard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320950/ https://www.ncbi.nlm.nih.gov/pubmed/34460495 http://dx.doi.org/10.3390/jimaging5060057 |
Ejemplares similares
-
Automatic glioma segmentation based on adaptive superpixel
por: Wu, Yaping, et al.
Publicado: (2019) -
Foreground Detection Based on Superpixel and Semantic Segmentation
por: Feng, Junying, et al.
Publicado: (2022) -
A Fast Superpixel Segmentation Algorithm for PolSAR Images Based on Edge Refinement and Revised Wishart Distance
por: Zhang, Yue, et al.
Publicado: (2016) -
Superpixel Segmentation Based on Grid Point Density Peak Clustering
por: Chen, Xianyi, et al.
Publicado: (2021) -
Robust Superpixel Segmentation for Hyperspectral-Image Restoration
por: Fan, Ya-Ru
Publicado: (2023)