Research and Implementation of a Fast Image Segmentation Algorithm Based on SRG

Abstract:

In order to improve the real-time performance and accuracy of the traditional SRG(Seeded Region Growing) algorithm in image processing, this paper proposes a intellective and rapid image segmentation by imitating the process of the virus infection in nature, and then implement it on vc++6 platform. On one hand , the algorithm can detecting automatically detect the seeds in image region and can be adapt for uneven-light image by adjusting the parameters based on the brightness of the background; On the other hand, only by one of the image scanning, it can segment and mark the objects from the background. The experimental results show that compared with the traditional SRG algorithm, this algorithm can improve the segmentation speed in different background with higher accuracy.

• Periodical: Key Engineering Materials (Volume 621)
• Pages: 594-598
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.621.594
• Online since: August 2014
• Authors: Chun Yin Hu, Wan Cheng Tang, Bang Yan Ye*, Li Dong Liang
• Keywords: Image Background, Image Segmentation, Intellect, SRG, VC++ 6

References

[1] Frank Y. Shih and S.X. Cheng: Automatic seeded region growing for color images segmentation [J]. Image and Vision Computing, 2005, (10), p, 877-886.

DOI: 10.1016/j.imavis.2005.05.015

[2] J.P. Fan, G.H. Zeng and Body Mathurin: Seeded Region Growing: an extensive and comparative Study [J]. Pattern Recognition Letters, 2005, (8), p, 113 9-1156.

DOI: 10.1016/j.patrec.2004.10.010

[3] Takanashi Tetsuya and Shin Jungpil: Color image segmentation based on region growing algorithm [J]. Journal of Convergence Information Technology, 2012, (16), p, 152-160.

DOI: 10.4156/jcit.vol7.issue16.18

[4] J.N. Wang, J. Kong and Y.H. Lu: A region-based SRG algorithm for color image segmentation [J]. Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, 2007, (3), p, 1524-1547.

DOI: 10.1109/icmlc.2007.4370390

[5] H. Lu and Y. Wen: Region growing algorithm in PCB element segmentation [J]. Journal of Chinese Computer Systems, 2007, (8), p, 1489-1491.

[6] M. Cheng, X.Y. Huang, S.H. Huang and et al: Directional region growing algorithm and its applications in vessel segmentation [J]. Journal of Image and Graphics, 2011(1), p, 44-49.

[7] J. Kong, J.N. Wang, W.X. Gu and et al: Automatic SRG based region for color image segmentation [J]. Journal of Northeast Normal University (Natural Science Edition), 2008, (4), p, 47-51.