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Feature extraction for structured surface based on surface networks and edge detection

Xiao, Shaojun, Xie, F., Blunt, Liam, Scott, Paul J. and Jiang, Xiang (2006) Feature extraction for structured surface based on surface networks and edge detection. Materials Science in Semiconductor Processing, 9 (1-3). pp. 210-214. ISSN 1369-8001

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Abstract

This paper presents a novel morphological feature extraction technique in which networks of structured surfaces are built on the basis of the edge information of a measured surface. These networks contain all the surface geometrical patterns and these are categorised into the individual feature primitives such as the hill/dale, peak, pit and saddle point. Furthermore, the connections between these features are also constructed in the network, so height and area pruning methods of surface networks enable the combination and removal of insignificant features flexibly and effectively on the basis of their network connections. The proposed morph-edge method can effectively separate various surface regions with complicated overlapping and indistinct boundaries. This morph-edge surface segmentation technique is presented and discussed in the light of practical applications to structured surface analysis.

Item Type: Article
Additional Information: Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.
Uncontrolled Keywords: Surface network; Surface segmentation; Morphological feature; Edge detection
Subjects: T Technology > T Technology (General)
Q Science > QC Physics
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
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References:

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[2] L. Blunt and X. Jiang, Advanced Techniques for Assessment Surface Topography (first ed), Penton Press, London (2003).

[3] P.J. Scott, Pattern analysis and metrology: the extraction of stable features from observable measurements, Proc R Soc London, Seri A 460 (2004), pp. 2845–2864. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (7)

[4] O. Lezoray and H. Cardot, Histogram and watershed based segmentation of color images. Technical report, University of Caen, France (2000).

[5] F. Guoyi, S.A. Hojjat and A.C.F. Colchester, Integrating watersheds and critical point analysis for object detection in discrete 2D images, Med Image Anal 8 (2004), pp. 177–185.

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[7] Heath M, Sarkar S, Sanocki T, Bowyer K. Comparison of edge detectors: a methodology and initial study. In: Computer Vision and Pattern Recognition ’96, San Francisco, June, 1996.

Depositing User: Briony Heyhoe
Date Deposited: 10 Apr 2008 10:37
Last Modified: 26 Nov 2010 11:45
URI: http://eprints.hud.ac.uk/id/eprint/655

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