Patch-Based Fuzzy Local Weighted C-Means Clustering Algorithm with Correntropy Induced Metric for Noise Image Segmentation

Gao, Yunlong; Li, Huidui; Li, Jianpeng; Cao, Chao; Pan, Jinyan

doi:10.1007/s40815-023-01485-2

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Patch-Based Fuzzy Local Weighted C-Means Clustering Algorithm with Correntropy Induced Metric for Noise Image Segmentation

Cited by 4 publications

References 30 publications

Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm

Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm

Possibilistic c-Means Clustering Algorithms Based on Adaptive Nearest Neighbors

IFCM Clustering Algorithm Incorporating Fuzzy Robust Texture Feature for Complex Texture Image Segmentation

Contact Info

Product

Resources

About