Adaptive spatially weighted fuzzy c-means clustering for image segmentation
Author:
Affiliation:
1. Xi'an Shiyou University,School of Computer Science,Xi’an,China
2. Xi'an Shiyou University,School of Petroleum Engineering,Xi’an,China
Funder
National Natural Science Foundation of China
Youth Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778366.pdf?arnumber=9778366
Reference12 articles.
1. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
2. Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field via Bayesian Theory
3. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
4. Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure
5. Bias-corrected intuitionistic fuzzy c-means with spatial neighborhood information approach for human brain MRI image segmentation
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