Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6938559 | Journal of Visual Communication and Image Representation | 2015 | 45 Pages |
Abstract
This paper proposes a method of image segmentation based on superpixels. The method is applied to achieve the segmentation of synthetic aperture radar (SAR) image. Firstly, the superpixels are extracted based on multi-scale features. Then, the fuzzy c-means (FCM) clustering based on superpixels is implemented, in which the influence of neighboring and similar superpixels is incorporated into FCM and the influential degree is optimized to improve segmentation performance. Experimental results show that the proposed method can achieve an impressive accuracy of SAR segmentation. For application extension, when we extract corresponding feature from several types of specific images, the proposed method is able to achieve better segmentation performance.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Xiaolin Tian, Licheng Jiao, Long Yi, Kaiwu Guo, Xiaohua Zhang,