Image-segmentation algorithm based on wavelet and data-driven neutrosophic fuzzy clustering
Author:
Affiliation:
1. School of Information Science and Engineering, Guangxi University for Nationalities, Nanning, People’s Republic of China
2. School of Information Engineering, Nanchang Hangkong University, Nanchang, People’s Republic of China
Funder
Guangxi University
National Science Foundation Council of Guangxi
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computer Vision and Pattern Recognition,Media Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/13682199.2018.1549694
Reference22 articles.
1. K-mean algorithm for Image Segmentation using Neutrosophy
2. Novel modified fuzzy c-means algorithm with applications
3. General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering
4. A NOVEL IMAGE SEGMENTATION APPROACH BASED ON NEUTROSOPHIC SET AND IMPROVED FUZZY C-MEANS ALGORITHM
5. Segmentation of SAR images using improved artificial bee colony algorithm and neutrosophic set
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