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Recognition of Features from Micro Scale Patterned Surfaces

Zhu, Hao, Blunt, Liam, Jiang, Xiang and Xiao, Shaojun (2009) Recognition of Features from Micro Scale Patterned Surfaces. In: The 9th International Symposium on Measurement Technology and Intelligent Instruments (ISMTII-2009), 29 June - 2 July 2009, Saint-Petersburg, Russia.

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      Abstract

      It is recognised that surface feature is the one of the most important factors affecting the functionality and reliability of micro/nano scale patterned surfaces. The information in all surface geometrical patterns is contained in the attributes of the individual pattern features and the structural relationships between these features. To extract this information the individual pattern features need to be identified [1]. A stable syntactic extraction technique of significant surface features from what is termed a structured surface has been developed. Different feature extraction techniques applied for the different types of structured surfaces are illustrated [2-3]. Examples have been selected to demonstrate the feasibility and applicability of the surface pattern analysis techniques. Finally, experimental results will be given and discussed in this paper.

      Item Type: Conference or Workshop Item (Paper)
      Additional Information: Reproduced with kind permission from the ISMTII-2009 Secretariat
      Subjects: T Technology > T Technology (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:
      Depositing User: Hao Zhu
      Date Deposited: 28 Apr 2009 12:22
      Last Modified: 26 Nov 2010 10:00
      URI: http://eprints.hud.ac.uk/id/eprint/4032

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