HK Segmentation of 3D Micro-structures Reconstructed from Focus

  • Muhammet A. Hocaoglu
  • Mustafa Unel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5226)

Abstract

This paper presents an evaluation of HK segmentation on 3D micro-structures reconstructed from focus. Due to the necessity of 3D shape and surface structure information for a precise micromanipulation, shape of the object is recovered using shape from focus (SFF). In the SFF procedure, using an image sequence, composed of images captured at different focusing levels, focused image of the micro-structure and its shape are acquired. Then the resulting shape, also called range image, is used in HK segmentation method to extract surface curvature information. Experimental results show that this technique works for both synthetic and real data.

Keywords

HK Segmentation 3D Micro-structures Image 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Muhammet A. Hocaoglu
    • 1
  • Mustafa Unel
    • 1
  1. 1.Faculty of Engineering and Natural SciencesSabanci UniversityIstanbulTurkey

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