Alternate PSO-Based Adaptive Interval Type-2 Intuitionistic Fuzzy C-Means Clustering Algorithm for Color Image Segmentation

IEEE Access ◽

10.1109/access.2019.2916894 ◽

2019 ◽

Vol 7 ◽

pp. 64028-64039 ◽

Author(s):

Feng Zhao ◽

Yilei Chen ◽

Hanqiang Liu ◽

Jiulun Fan

Keyword(s):

Image Segmentation ◽

Clustering Algorithm ◽

Color Image ◽

Color Image Segmentation ◽

Fuzzy C Means ◽

Intuitionistic Fuzzy ◽

Fuzzy C Means Clustering ◽

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CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation

Applied Soft Computing ◽

10.1016/j.asoc.2021.108005 ◽

2021 ◽

pp. 108005

Author(s):

Amin Golzari Oskouei ◽

Mahdi Hashemzadeh ◽

Bahareh Asheghi ◽

Mohammad-Ali Balafar

Keyword(s):

Image Segmentation ◽

Clustering Algorithm ◽

Color Image ◽

Local Feature ◽

Color Image Segmentation ◽

Fuzzy C Means ◽

Feature Weight ◽

Fuzzy C Means Clustering ◽

Weight Learning

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Semisupervised Approach to Surrogate-Assisted Multiobjective Kernel Intuitionistic Fuzzy Clustering Algorithm for Color Image Segmentation

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2020.2973121 ◽

2020 ◽

Vol 28 (6) ◽

pp. 1023-1034

Author(s):

Feng Zhao ◽

Zhe Zeng ◽

Hanqiang Liu ◽

Rong Lan ◽

Jiulun Fan

Keyword(s):

Image Segmentation ◽

Fuzzy Clustering ◽

Clustering Algorithm ◽

Color Image ◽

Color Image Segmentation ◽

Intuitionistic Fuzzy ◽

Fuzzy Clustering Algorithm ◽

Intuitionistic Fuzzy Clustering

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A Design of Incremental Granular Model Using Context-Based Interval Type-2 Fuzzy C-Means Clustering Algorithm

IEICE Transactions on Information and Systems ◽

10.1587/transinf.2015edl8076 ◽

2016 ◽

Vol E99.D (1) ◽

pp. 309-312 ◽

Author(s):

Keun-Chang KWAK

Keyword(s):

Clustering Algorithm ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

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Color Image Segmentation Using Kernalized Fuzzy C-means Clustering

2015 Fifth International Conference on Communication Systems and Network Technologies ◽

10.1109/csnt.2015.200 ◽

2015 ◽

Author(s):

Sneha M. Mahajan ◽

Yogita K. Dubey

Keyword(s):

Image Segmentation ◽

Color Image ◽

Color Image Segmentation ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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Enhanced Type 2 Triangular Intuitionistic Fuzzy C Means Clustering Algorithm for Breast Cancer Histopathology Images

2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC) ◽

10.1109/iccmc48092.2020.iccmc-000110 ◽

2020 ◽

Author(s):

P. Amsini ◽

R. Uma Rani

Keyword(s):

Breast Cancer ◽

Clustering Algorithm ◽

Fuzzy C Means ◽

Intuitionistic Fuzzy ◽

Fuzzy C Means Clustering ◽

Histopathology Images

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Interval Type-2 Recursive Fuzzy C-Means Clustering Algorithm in the TS Fuzzy Model Identification

2015 IEEE Symposium Series on Computational Intelligence ◽

10.1109/ssci.2015.14 ◽

2015 ◽

Author(s):

Tanmoy Dam ◽

Alok Kanti Deb

Keyword(s):

Clustering Algorithm ◽

Model Identification ◽

Fuzzy Model ◽

Ts Fuzzy Model ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

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The Global Interval Type-2 Fuzzy C-Means clustering algorithm

2011 International Conference on Multimedia Technology ◽

10.1109/icmt.2011.6002554 ◽

2011 ◽

Author(s):

Li Wang ◽

Yunjie Zhang ◽

Min Cai

Keyword(s):

Clustering Algorithm ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering ◽

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An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation

Applied Soft Computing ◽

10.1016/j.asoc.2015.12.022 ◽

2016 ◽

Vol 46 ◽

pp. 543-557 ◽

Author(s):

Hanuman Verma ◽

R.K. Agrawal ◽

Aditi Sharan

Keyword(s):

Image Segmentation ◽

Clustering Algorithm ◽

Local Information ◽

Brain Image ◽

Fuzzy C Means ◽

Intuitionistic Fuzzy ◽

Fuzzy C Means Clustering ◽

Brain Image Segmentation

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An interval type-2 FCM for color image segmentation

International Journal of Advanced Computer Research ◽

10.19101/ijacr.2019.940114 ◽

2020 ◽

Vol 10 (46) ◽

pp. 12-17 ◽

Author(s):

Abdullah Hamad ◽

Sadegh Aminifar ◽

Muhammadamin Daneshwar

Keyword(s):

Image Segmentation ◽

Color Image ◽

Color Image Segmentation ◽

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Characterization of gold and silver nanoparticles using it's color image segmentation and feature extraction using fuzzy C-means clustering and generalized shape theory

2011 International Conference on Communications and Signal Processing ◽

10.1109/iccsp.2011.5739402 ◽

2011 ◽

Author(s):

D. Dutta Majumder ◽

Sankar Karan ◽

A. Goswami

Keyword(s):

Silver Nanoparticles ◽

Feature Extraction ◽

Image Segmentation ◽

Color Image ◽

Color Image Segmentation ◽

Shape Theory ◽

Gold And Silver Nanoparticles ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

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