The Graph Cut Energy Image Matting Model Based on Dynamic Weight Parameter

Article Preview

Abstract:

The traditional graph cut algorithm for complex image matting accuracy is not high, the weight parameters in the dynamic graph cut energy model is based on image matting. The degree of similarity the algorithm uses Gauss model to calculate the foreground color and background color, in graph cut energy model of dynamic weight parameters are added, by it and then many corrections to the image matting. The experimental results show that the algorithm is easy to operate, that can improve the accuracy of image matting.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

5148-5152

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] BOYKOV Y, JOLLYM P. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images[ C ] / / Proc of International Conference on Computer Vision. 2001: 105 - 112.

DOI: 10.1109/iccv.2001.937505

Google Scholar

[2] Justin F. Talbot, Xiaoqian Xu. Implem enting GrabCut. [J] . Brigham Young University. Revised: April 7, (2006).

Google Scholar

[3] Desheng Wang, Xue-Cheng Tai, Xianglin Wu. Image Segmentation Based on GrabCut Framework Integrating Multiscale Nonlinear Structure Tensor [J] Image Processing, IEEE Transactions on, 2009: 2025560.

DOI: 10.1109/tip.2009.2025560

Google Scholar

[4] ROTHER C, KOLMOGOROV V, BLAKE A. GrabCut: interactive foreground extraction using iterated graph cuts[ J ]. ACM Trans on Graphics, 2004, 23 (3) : 3092314.

DOI: 10.1145/1015706.1015720

Google Scholar

[5] WU Xiao-yu, WANG Yang-sheng. Interactive foreground / background segmentation based on graph cut [ C ] / / Proc of Congress on Image and Signal Processing. 2008: 6922696.

DOI: 10.1109/cisp.2008.387

Google Scholar

[6] Tang Zhen, Miao Zhen-jiang. Fast Background subtraction using improved GMM and graph cut[A]. In: Proceedings of Congress on Image and Signal Processing[C]. Hainan, China, 2008: 181-186.

DOI: 10.1109/cisp.2008.459

Google Scholar