Enhanced Kernelized Conditional Spatial Fuzzy C Means Algorithm for Noisy Brain MRI Tissue Segmentation

Author:

Halder Amiya1ORCID,Choudhuri Rudrajit2ORCID,Sarkar Apurba3ORCID

Affiliation:

1. St Thomas' College of Engineering and Technology, India

2. St Thomas' College of Engineering & Technology, India

3. IIEST Shibpur, India

Publisher

ACM

Reference29 articles.

1. Sudip Kumar Adhikari , Jamuna Kanta Sing , Dipak Kumar Basu , and Mita Nasipuri . 2015. Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images. Applied soft computing 34 ( 2015 ), 758–769. Sudip Kumar Adhikari, Jamuna Kanta Sing, Dipak Kumar Basu, and Mita Nasipuri. 2015. Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images. Applied soft computing 34 (2015), 758–769.

2. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data

3. Weiling Cai , Songcan Chen , and Daoqiang Zhang . 2007. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern recognition 40, 3 ( 2007 ), 825–838. Weiling Cai, Songcan Chen, and Daoqiang Zhang. 2007. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern recognition 40, 3 (2007), 825–838.

4. Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure

5. Keh-Shih Chuang , Hong-Long Tzeng , Sharon Chen , Jay Wu , and Tzong-Jer Chen . 2006. Fuzzy c-means clustering with spatial information for image segmentation. computerized medical imaging and graphics 30, 1 ( 2006 ), 9–15. Keh-Shih Chuang, Hong-Long Tzeng, Sharon Chen, Jay Wu, and Tzong-Jer Chen. 2006. Fuzzy c-means clustering with spatial information for image segmentation. computerized medical imaging and graphics 30, 1 (2006), 9–15.

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