Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Similares en SciELO
Compartir
Journal of applied research and technology
versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423
Resumen
MUJICA-VARGAS, Dante. Superpixels extraction by an Intuitionistic fuzzy clustering algorithm. J. appl. res. technol [online]. 2021, vol.19, n.2, pp.140-152. Epub 30-Oct-2021. ISSN 2448-6736. https://doi.org/10.22201/icat.24486736e.2021.19.2.1581.
A scheme to develop the image over-segmentation task is introduced in this paper, it considers the pixels of an image as intuitive fuzzy sets and develops an intuitionistic clustering process of them. In this regard, the main contribution is to provide a method for extracting superpixels with greater adherence to the edges of the regions. Experimental tests were developed considering biomedical grayscale and natural color images. The robustness and effectiveness of this proposal was verified by quantitative and qualitative results.
Palabras llave : superpixels extraction; intuitionistic fuzzy clustering; biomedical grayscale and natural color images.