Novel fuzzy matrix swap algorithm for fuzzy directed graph on image processing

作者：

Highlights：

• Fuzzy directed graph theoretic techniques for image processing.

• Operations: reflexive, symmetric, union, intersection, max–min composition.

• Fuzzy digraph matrix swap algorithm for reading and processing a target image.

• Image segmentation and noisy environment for processing medical images.

• Window slider across target images obtains threshold graphs.

摘要

•Fuzzy directed graph theoretic techniques for image processing.•Operations: reflexive, symmetric, union, intersection, max–min composition.•Fuzzy digraph matrix swap algorithm for reading and processing a target image.•Image segmentation and noisy environment for processing medical images.•Window slider across target images obtains threshold graphs.

论文关键词：Fuzzy relations,Fuzzy directed graphs,Fuzzy classification,Threshold graph

论文评审过程：Received 19 November 2020, Revised 13 November 2021, Accepted 23 November 2021, Available online 31 December 2021, Version of Record 6 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116291