A New Approach for Gray Image Segmentation Using Level Set Method

Lai Zhen Li; Shuai Han; Wen Ming Wang; Hu Tan; Qiang Zhou

doi:10.4028/www.scientific.net/AMM.530-531.372

Paper Titles

Research on Single-Phase Grounding Fault in Distribution Networks with a DC Power Positioning Method
p.353

Research and Simulation on Interference Signal Detection of Distributed Generation Connected to the Grid Based on Duffing Oscillator
p.357

A Hybrid Intelligent Algorithm for Fuzzy Programming Problem under Credibility Theory
p.363

A Modified Limited Memory BFGS Method for Non-Convex Minimization
p.367

A New Approach for Gray Image Segmentation Using Level Set Method
p.372

A Specular Shape-from-Shading Method with Constrained Inpaiting
p.377

An Approach of Image Semantic Automatic Tagging Based on SVM
p.382

An Efficient Algorithm Optimization of CT Images Segmentation Based on K-Means Clustering
p.386

An Image Fusion Method Based on Shearlet and Multi-Decision
p.390

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531A New Approach for Gray Image Segmentation Using...

A New Approach for Gray Image Segmentation Using Level Set Method

Abstract:

The techniques and the processes to divide the image into several parts which have different features and to pick up foreground are called image segmentation. In this work, we propose a new approach for gray scale image segmentation based on level set method. At first, every pixel on the image is divided into either similar-property class or dissimilar-property class based on the variance of a small area centered at the pixel. Then, the velocity of curve evolution for these two classes is defined respectively. It is determined by a value called the dissimilarity of the area. Experimental results show that this approach can obtain good segmentation results of artificial images and real medical images fast and accurately.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

372-376

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.372

Citation:

Cite this paper

Online since:

February 2014

Authors:

Lai Zhen Li, Shuai Han*, Wen Ming Wang, Hu Tan, Qiang Zhou

Keywords:

Gray Scale Image, Image Segmentation, Level Set

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] S. Osher, J. A. Sethian: Front propagating with curvature dependent speed: algorithms based on the Hamilton-Jacobi formulation. Journal of Computational Physics, Vol. 79 (1988), pp.14-49.

DOI: 10.1016/0021-9991(88)90002-2

Google Scholar

[2] D. Adalsteinsson and J. A. Sethian: A Fast Level Set Method for Propagating Interfaces. Journal of Computational Physics, Vol. 118(1995), pp.269-277.

DOI: 10.1006/jcph.1995.1098

Google Scholar

[3] R. Malladi, J. A. Sethian, and B. C. Vemuri: Shape modeling with front propagation: a level set approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17(1995), pp.158-175.

DOI: 10.1109/34.368173

Google Scholar