A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation
Authors
Keywords
-
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 201, Issue -, Pages 117019
Publisher
Elsevier BV
Online
2022-04-02
DOI
10.1016/j.eswa.2022.117019
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-path connected network for medical image segmentation
- (2020) Dan Wang et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Unsupervised fuzzy model-based image segmentation
- (2020) Siu Kai Choy et al. SIGNAL PROCESSING
- Total Bregman divergence-based fuzzy local information C-means clustering for robust image segmentation
- (2020) Chengmao Wu et al. APPLIED SOFT COMPUTING
- Gastric histopathology image segmentation using a hierarchical conditional random field
- (2020) Changhao Sun et al. Biocybernetics and Biomedical Engineering
- Machine learning-assisted region merging for remote sensing image segmentation
- (2020) Tengfei Su et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Level set formulation for automatic medical image segmentation based on fuzzy clustering
- (2020) Yunyun Yang et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- Cardiac magnetic resonance image segmentation based on convolutional neural network
- (2020) Duqiu Liu et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Anti-noise FCM image segmentation method based on quadratic polynomial
- (2020) Xijing Zhang et al. SIGNAL PROCESSING
- Robust entropy-based symmetric regularized picture fuzzy clustering for image segmentation
- (2020) Chengmao Wu et al. DIGITAL SIGNAL PROCESSING
- A wavelet transform-based image segmentation method
- (2019) Jianqiang Gao et al. OPTIK
- Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
- (2018) Tao Lei et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Fuzzy Double C-Means Clustering Based on Sparse Self-Representation
- (2018) Jing Gu et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Noise Robust Multi-objective Evolutionary Clustering Image Segmentation Motivated by Intuitionistic Fuzzy Information
- (2018) Feng Zhao et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- A Multi-Anatomical Retinal Structure Segmentation System for Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding
- (2018) Jasem Almotiri et al. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM
- Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks
- (2017) Yading Yuan et al. IEEE Journal of Biomedical and Health Informatics
- Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images
- (2015) Sudip Kumar Adhikari et al. APPLIED SOFT COMPUTING
- Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images
- (2015) Raffaele Gaetano et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation
- (2014) Feng Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Image segmentation with complicated background by using seeded region growing
- (2012) Chung-Chia Kang et al. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
- A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy c-Means
- (2012) Yanhui Guo et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
- (2012) Maoguo Gong et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering
- (2011) Maoguo Gong et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A Robust Fuzzy Local Information C-Means Clustering Algorithm
- (2010) Stelios Krinidis et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now