Superpixels extraction by an Intuitionistic fuzzy clustering algorithm
Abstract 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.
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| Format: | Digital revista |
| Language: | English |
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Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología
2021
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| Online Access: | http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-64232021000200140 |
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