An Active Contour Based Algorithm for Micro-scale Surface Feature Extraction

Zhu, Hao, Blunt, Liam and Jiang, Xiang (2009) An Active Contour Based Algorithm for Micro-scale Surface Feature Extraction. In: The Swedish Production Symposium, 2-3 December 2009, Göteborg, Sweden.

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Abstract

Surface feature is the one of the most important factors affecting the functionality and
reliability of micro scale patterned surfaces. For micro scale patterned surface
characterization, it’s important to extract the surface feature effectively and accurately.
The active contours, known as “snakes”, have been successfully used to segment, match
and track the objects of interest. The active contours are wildly implicated in facial
boundary detection, medical image processing, motion correction, etc. In this paper,
surface feature extraction techniques based on active contours have been investigated.
Greedy active contour models and geometric active contour (GAC) models have been
presented. Also, a group of examples has been selected here to demonstrate the
feasibility and applicability of the surface pattern extraction techniques based on active
contours. At last, experimental results will be given and discussed.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Plenary session 1 Yesterday, today and tomorrow in production engineering research Item no 92
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
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
Related URLs:	Author Author Organisation Conference
Depositing User:	Hao Zhu
Date Deposited:	11 Feb 2010 14:34
Last Modified:	28 Aug 2021 10:54
URI:	http://eprints.hud.ac.uk/id/eprint/6914

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