Parallel hesitant fuzzy C-means algorithm to image segmentation

被引：0
作者：
Virna V. Vela-Rincón
Dante Mújica-Vargas
Jose de Jesus Rubio
机构：
[1] Tecnlógico Nacional de México/CENIDET,Sección de Estudios de Posgrado e Investigación, Esime Azcapotzalco
[2] Instituto Politécnico Nacional,undefined
来源：
Signal, Image and Video Processing | 2022年 / 16卷
关键词：
Color image segmentation; Hesitant fuzzy set; Parallelization technique; OpenMP;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Hesitant fuzzy information allows clustering data with multiple possible membership values for a single item in a reference set. Hesitant fuzzy sets have been applied in many decision-making problems, obtaining better results against others kinds of fuzzy sets. So, in this paper a method for image segmentation based on the hesitant fuzzy set theory is investigated. Additionally, processing time is sped up with a hardware-level parallelization technique using OpenMP. Comparing the experimental results, it can be seen that the segmentation by the propose algorithm is superior, compared to some of the state of the art. The most striking feature to emerge from this algorithm is its ability to preserve the details of the boundaries of the region, in addition to the fact that the regions are more homogeneous.
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页码：73 / 81
页数：8
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