TY - JOUR
T1 - Parallel hesitant fuzzy C-means algorithm to image segmentation
AU - Vela-Rincón, Virna V.
AU - Mújica-Vargas, Dante
AU - de Jesus Rubio, Jose
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
PY - 2022/2
Y1 - 2022/2
N2 - 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.
AB - 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.
KW - Color image segmentation
KW - Hesitant fuzzy set
KW - OpenMP
KW - Parallelization technique
UR - http://www.scopus.com/inward/record.url?scp=85108382188&partnerID=8YFLogxK
U2 - 10.1007/s11760-021-01957-8
DO - 10.1007/s11760-021-01957-8
M3 - Artículo
AN - SCOPUS:85108382188
SN - 1863-1703
VL - 16
SP - 73
EP - 81
JO - Signal, Image and Video Processing
JF - Signal, Image and Video Processing
IS - 1
ER -