The Gray Segmentation of Color Image Based on Level Set Method
Mathematics and Computer Science
Volume 1, Issue 4, November 2016, Pages: 82-85
Received: Jul. 4, 2016; Accepted: Jul. 20, 2016; Published: Oct. 18, 2016
Views 3019      Downloads 114
Authors
Wang Wenjie, College of Science, Chang’an University, Xi’an, China
Feng Jianhu, College of Science, Chang’an University, Xi’an, China
Article Tools
Follow on us
Abstract
Firstly, the flaw of usual colored image to gray was discussed. And a new method of colored image to gray based on gradient domain was proposed. Secondly, the gray image was segmented using the level set method. Finally, it was compared the method of this paper with the traditional level set method. The numerical examples shown that the new method is stable and it can deal with the case of the topology change,and it can advance the accuracy of image segmentation.
Keywords
Colored Image to Gray Image, Level Set Method, Gradient Domain, Image Segmentation
To cite this article
Wang Wenjie, Feng Jianhu, The Gray Segmentation of Color Image Based on Level Set Method, Mathematics and Computer Science. Vol. 1, No. 4, 2016, pp. 82-85. doi: 10.11648/j.mcs.20160104.12
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Wang Xincheng. Advanced image processing technology [M]. Beijing: China Science and Technology Press, 2000 (in Chinese).
[2]
Luo Xiping, Tian Jie. An overview of image segmentation methods [J]. Pattern recognition and artificial intelligence, 1999, 9 (3); 300-312 (in Chinese).
[3]
Xiao Chaoyun, Zhu Weixing. Threshold segmentation algorithm based on Otsu criterion and image entropy [J]. Computer Engineering, 2007, 33 (14): 188-190 (in Chinese).
[4]
Chan T F, Vese L A. Active Contours Without Edges [J]. IEEE Trans on Image Processing, 2001, 10 (2): 266-277.
[5]
You Jianjie, Zhou Zeming, Pheng Ann Heng,et al. Simulated Annealing Based Simplified Snakes for Weak Edge Medical Image Segmention [J]. Journal of Image and Graphics, 2004, 9 (1): 11-17.
[6]
Osher S., Sethian J. A. Front propagating withcurvature-Dependent Speed: Algorithm based on Hamilton-Jacobin Formulation [J]. Computational physics, 1988 (79): 12-49.
[7]
Fattal R., Lischinski D., Werman M., Gradient Domain High Dynamic Range Compression [J], Proc, ACM Siggraph 2002, 21 (3), 249-256.
[8]
Zhou Bingfeng, Zhang Weixiang. A method based on gradient domain for color image to gray level image, image technology, 2007 (3), 20-22 (in Chinese).
[9]
Chan T., Vese L., Active contours without edges [J]. IEEE Transaction Image Processing, 2001, 10 (2): 266-277.
[10]
Wang Xiaofeng, Doctoral thesis, Univercity of Science and Technology of China, 2009, 55-57 (in Chinese)
[11]
Wang Wenjie, Feng Jianhu. Image segmentation based on variational Set Level method, computer engineering and applications, 2006 (18): 68-18 (in Chinese).
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186