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

Aiming at the problem of poor real-time ability of Normalized Cut (NC), this paper suggests a remote sensing image segmentation algorithm based on region-split and graph cut within human visual system (HVS). 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
Edited by
Qi Luo
Pages
115-118
DOI
10.4028/www.scientific.net/AMM.55-57.115
Citation
H. Jiang, J. Wen, "Remote Sensing Image Segmentation Based on Human Visual System Region-Split and Graph Cut", Applied Mechanics and Materials, Vols. 55-57, pp. 115-118, 2011
Online since
May 2011
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