HK Segmentation of 3D Micro-structures Reconstructed from Focus

Authors:
Muhammet A. Hocaoglu;Mustafa Unel
Affiliations:
Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey 34956;Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey 34956
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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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.