title   
  

HK segmentation of 3D micro-structures reconstructed from focus

Hocaoğlu, Muhammet Ali and Ünel, Mustafa (2008) HK segmentation of 3D micro-structures reconstructed from focus. In: Huang, D.-S., (ed.) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. Lecture Notes in Computer Science, 5226/2008. Springer, Berlin / Heidelberg, pp. 1173-1180. ISBN 978-3-540-87440-9

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
433Kb

Official URL: http://dx.doi.org/10.1007/978-3-540-87442-3_145

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.

Item Type:Book Section / Chapter
Uncontrolled Keywords:HK Segmentation - 3D Micro-structures - Image
Subjects:T Technology > T Technology (General)
ID Code:9840
Deposited By:Mustafa Ünel
Deposited On:30 Oct 2008 19:41
Last Modified:20 Aug 2009 14:22

Repository Staff Only: item control page