The new image segmentation algorithm using adaptive evolutionary programming and fuzzy c-means clustering

MR image segmentation algorithm based on non-local fuzzy C-means clustering

The 27th Chinese Control and Decision Conference (2015 CCDC) ◽

10.1109/ccdc.2015.7162084 ◽

2015 ◽

Cited By ~ 3

Author(s):

Sui Yuan ◽

Wei Ying

Keyword(s):

Image Segmentation ◽

Segmentation Algorithm ◽

Mr Image ◽

Fuzzy C Means ◽

Non Local ◽

Mr Image Segmentation ◽

Robust level set image segmentation algorithm using local correntropy-based fuzzy c-means clustering with spatial constraints

Neurocomputing ◽

10.1016/j.neucom.2016.03.046 ◽

2016 ◽

Vol 207 ◽

pp. 22-35 ◽

Cited By ~ 35

Author(s):

Xiao-Liang Jiang ◽

Qiang Wang ◽

Biao He ◽

Shao-Jie Chen ◽

Bai-Lin Li

Keyword(s):

Image Segmentation ◽

Level Set ◽

Segmentation Algorithm ◽

Spatial Constraints ◽

Fuzzy C Means ◽

An Image Segmentation Algorithm Based on Fuzzy C-Means Clustering

2009 International Conference on Digital Image Processing ◽

10.1109/icdip.2009.15 ◽

2009 ◽

Cited By ~ 3

Author(s):

Xin-bo Zhang ◽

Li Jiang

Keyword(s):

Image Segmentation ◽

Segmentation Algorithm ◽

Fuzzy C Means ◽

Image Segmentation Algorithm Using Watershed Transform and Fuzzy C-Means Clustering on Level Set Method

International Journal of Computer Theory and Engineering ◽

10.7763/ijcte.2013.v5.680 ◽

2013 ◽

pp. 209-213 ◽

Cited By ~ 5

Author(s):

Tara Saikumar ◽

P. Yugander ◽

P. S. Murthy ◽

B. Smitha

Keyword(s):

Image Segmentation ◽

Level Set Method ◽

Level Set ◽

Segmentation Algorithm ◽

Watershed Transform ◽

Fuzzy C Means ◽

Advances in Intelligent and Soft Computing - Soft Computing in Information Communication Technology ◽

An Automatic Image Segmentation Algorithm Based on Weighting Fuzzy C-Means Clustering

10.1007/978-3-642-29148-7_5 ◽

2012 ◽

pp. 27-32 ◽

Cited By ~ 2

Author(s):

Yujie Li ◽

Huimin Lu ◽

Lifeng Zhang ◽

Junwu Zhu ◽

Shiyuan Yang ◽

...

Keyword(s):

Image Segmentation ◽

Segmentation Algorithm ◽

Fuzzy C Means ◽

IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005. ◽

A new image segmentation algorithm based on the fusion of markov random field and fuzzy C-means clustering

10.1109/iscit.2005.1566818 ◽

2006 ◽

Cited By ~ 1

Author(s):

Siyuan Liu ◽

Xiaofeng Li ◽

Zaiming Li

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Segmentation Algorithm ◽

Fuzzy C Means ◽

Markov Random ◽

The image segmentation algorithm of colorimetric sensor array based on fuzzy C-means clustering

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-179583 ◽

2020 ◽

Vol 38 (4) ◽

pp. 3605-3613 ◽

Cited By ~ 2

Author(s):

Huan Chun Xu ◽

Rui Hou ◽

Lan Liu ◽

Jiao Yong Cai ◽

Ji Gang Chen ◽

...

Keyword(s):

Image Segmentation ◽

Sensor Array ◽

Colorimetric Sensor ◽

Segmentation Algorithm ◽

Fuzzy C Means ◽

Colorimetric Sensor Array ◽

A novel natural image segmentation algorithm based on Markov random field and improved fuzzy c-means clustering method

2016 International Conference on Communication and Electronics Systems (ICCES) ◽

10.1109/cesys.2016.7889902 ◽

2016 ◽

Author(s):

Ming Yan ◽

Zilu Wang

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Segmentation Algorithm ◽

Natural Image ◽

Clustering Method ◽

Fuzzy C Means ◽

Markov Random ◽

Adaptive Double Suppressed Fuzzy C-means Clustering Image Segmentation Algorithm Based on Regional Information Entropy and Fuzzy Partition

10.1109/icnlp52887.2021.00043 ◽

2021 ◽

Author(s):

Lan Rong ◽

Hu Tianlong ◽

Zhao Feng ◽

Yu Haiyan ◽

Zhao Qiang ◽

...

Keyword(s):

Image Segmentation ◽

Information Entropy ◽

Segmentation Algorithm ◽

Fuzzy Partition ◽

Fuzzy C Means ◽