Superpixels extraction by an Intuitionistic fuzzy clustering algorithm
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Redalyc
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional Autónoma de México
2021
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| _version_ | 1876433304481169408 |
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| author | Dante Mújica-Vargas |
| author_facet | Dante Mújica-Vargas |
| contents | Superpixels extraction by an Intuitionistic fuzzy clustering algorithm Dante Mújica-Vargas Ingeniería Superpixels extraction intuitionistic fuzzy clustering biomedical grayscale and natural color images 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. 2021 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471684005 https://www.redalyc.org/journal/474/47471684005/ https://www.redalyc.org/journal/474/47471684005/html/ https://www.redalyc.org/journal/474/47471684005/47471684005.epub https://www.redalyc.org/journal/474/47471684005/movil 10.14482/INDES.30.1.303.661 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.19 |
| format | Artículo científico |
| id | redalyc_47471684005 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Superpixels extraction by an Intuitionistic fuzzy clustering algorithm Dante Mújica-Vargas Ingeniería Superpixels extraction intuitionistic fuzzy clustering biomedical grayscale and natural color images Superpixels extraction by an Intuitionistic fuzzy clustering algorithm Dante Mújica-Vargas Ingeniería Superpixels extraction intuitionistic fuzzy clustering biomedical grayscale and natural color images 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. 2021 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471684005 https://www.redalyc.org/journal/474/47471684005/ https://www.redalyc.org/journal/474/47471684005/html/ https://www.redalyc.org/journal/474/47471684005/47471684005.epub https://www.redalyc.org/journal/474/47471684005/movil 10.14482/INDES.30.1.303.661 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.2 Vol.19 |
| title | Superpixels extraction by an Intuitionistic fuzzy clustering algorithm |
| topic | Ingeniería Superpixels extraction intuitionistic fuzzy clustering biomedical grayscale and natural color images |
| url | https://www.redalyc.org/articulo.oa?id=47471684005 https://www.redalyc.org/journal/474/47471684005/ https://www.redalyc.org/journal/474/47471684005/html/ https://www.redalyc.org/journal/474/47471684005/47471684005.epub https://www.redalyc.org/journal/474/47471684005/movil |