Paper Title:
Remote Sensing Image Segmentation Based on Region-Split and Graph Cut
  Abstract

According to the features of HVS, the algorithm uses region-split method to segment the remote sensing image into a large number of small regions. By integrating gray feature and spatial location of each region, NC is used to segment the image among regions from global view, by which the final segmented image can be generated. Experimental results show that comparing with the traditional NC, operating speed is significantly improved as getting close segmentation quality, and this is a kind of effective method of image segmentation.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
15-18
DOI
10.4028/www.scientific.net/KEM.474-476.15
Citation
H. Jiang, J. Wen, "Remote Sensing Image Segmentation Based on Region-Split and Graph Cut", Key Engineering Materials, Vols. 474-476, pp. 15-18, 2011
Online since
April 2011
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