Synthetic Aperture Radar (SAR) image segmentation by fuzzy c-means clustering technique with thresholding for iceberg images
Fuzzy c-means (FCM) clustering algorithm is widely used for image segmentation. The purpose of clustering is to identify natural groupings of data from a large data set, which results in concise representation of system's behavior. It can be used to detect icebergs regardless of ambient conditi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Academy of Ecology and Environmental Sciences
2014-06-01
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| Series: | Computational Ecology and Software |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/ces/articles/2014-4(2)/SAR-image-segmentation-by-fuzzy-c-means-clustering.pdf |