Regular Articles

Nonlocal-means-based smallest univalue segment assimilating nucleus edge detector

[+] Author Affiliations
Yi Zhan, Mingyue Ding, Xuming Zhang

Huazhong University of Science and Technology, Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, School of Life Science and Technology, Department of Biomedical Engineering, Wuhan 430074, China

J. Electron. Imaging. 22(1), 013023 (Feb 08, 2013). doi:10.1117/1.JEI.22.1.013023
History: Received August 23, 2012; Revised January 7, 2013; Accepted January 10, 2013
Text Size: A A A

Abstract.  To improve the antinoise performance of the smallest univalue segment assimilating nucleus (SUSAN) edge detector, a nonlocal means-based SUSAN edge detector is proposed. The proposed method first determines the initial SUSAN edge response based on the image patch convolved with an adaptive kernel instead of the single pixel. Then it computes the final edge response using the weighted sum of the initial edge responses of the pixels with their structures similar to the considered pixel. Extensive simulations on natural and real images demonstrate that compared with state-of-the-art detectors, the proposed method performs much better in terms of robustness to noise and edge detection and it provides significantly higher values of Pratt’s figure of merit and performance measure.

Figures in this Article
© 2013 SPIE and IS&T

Citation

Yi Zhan ; Mingyue Ding and Xuming Zhang
"Nonlocal-means-based smallest univalue segment assimilating nucleus edge detector", J. Electron. Imaging. 22(1), 013023 (Feb 08, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.1.013023


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.