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Proceedings Paper

Image segmentation based on non-subsampled contourlet and normalized cut
Author(s): Qian Li; Yi Liu; Hongying Liu; Zhihong Shi
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Paper Abstract

This paper describes an image segmentation algorithm based on Non-subsampled Contourlet (NSCT) and Normalized Cut (N-Cut). NSCT have the characteristics of multiresolutional, localized, multidirectional, and low redundant and anisotropic, so it is more effectively capture high dimensional singularity in an image. The segmentation is accomplishment by using normalize-cut rules after NSCT. The experiment results show the efficiency of image contour extraction, and avoid the problem of over-segmentation and under-segmentation phenomenon in N-Cut algorithm. In addition, because of less information in the low resolutions, the processing time is largely shortened, and then gets better segmentation results.

Paper Details

Date Published: 2 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833408 (2 June 2012); doi: 10.1117/12.946011
Show Author Affiliations
Qian Li, Shandong Univ. (China)
Yi Liu, Shandong Univ. (China)
Hongying Liu, Shandong Univ. (China)
Zhihong Shi, Shandong Univ. (China)

Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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