Remote Sensing Image Segmentation Based on Human Visual System Region-Split and Graph Cut

Abstract:

Article Preview

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 and 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

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.