A Novel Multiscale Edge Detection Approach Based on Nonsubsampled Contourlet Transform and Edge Tracking
Joint Authors
Chen, Enqing
Wang, Jianbo
Qi, Lin
Lv, Weijun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Edge detection is a fundamental task in many computer vision applications.
In this paper, we propose a novel multiscale edge detection approach based on the nonsubsampled contourlet transform (NSCT): a fully shift-invariant, multiscale, and multidirection transform.
Indeed, unlike traditional wavelets, contourlets have the ability to fully capture directional and other geometrical features for images with edges.
Firstly, compute the NSCT of the input image.
Secondly, the K-means clustering algorithm is applied to each level of the NSCT for distinguishing noises from edges.
Thirdly, we select the edge point candidates of the input image by identifying the NSCT modulus maximum at each scale.
Finally, the edge tracking algorithm from coarser to finer is proposed to improve robustness against spurious responses and accuracy in the location of the edges.
Experimental results show that the proposed method achieves better edge detection performance compared with the typical methods.
Furthermore, the proposed method also works well for noisy images.
American Psychological Association (APA)
Chen, Enqing& Wang, Jianbo& Qi, Lin& Lv, Weijun. 2015. A Novel Multiscale Edge Detection Approach Based on Nonsubsampled Contourlet Transform and Edge Tracking. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073996
Modern Language Association (MLA)
Chen, Enqing…[et al.]. A Novel Multiscale Edge Detection Approach Based on Nonsubsampled Contourlet Transform and Edge Tracking. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1073996
American Medical Association (AMA)
Chen, Enqing& Wang, Jianbo& Qi, Lin& Lv, Weijun. A Novel Multiscale Edge Detection Approach Based on Nonsubsampled Contourlet Transform and Edge Tracking. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1073996
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073996