Superpixels extraction by an Intuitionistic fuzzy clustering algorithm

Main Article Content

Dante Mújica Vargas

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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How to Cite
Vargas, D. M. (2021). Superpixels extraction by an Intuitionistic fuzzy clustering algorithm. Journal of Applied Research and Technology, 19(2), 140–152. https://doi.org/10.22201/icat.24486736e.2021.19.2.1581
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Articles
Author Biography

Dante Mújica Vargas

Tecnológico Nacional de México/CENIDET, Cuernavaca, Morelos, México