Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues

Volume 5226 of the series Lecture Notes in Computer Science pp 1173-1180

HK Segmentation of 3D Micro-structures Reconstructed from Focus

  • Muhammet A. HocaogluAffiliated withFaculty of Engineering and Natural Sciences, Sabanci University
  • , Mustafa UnelAffiliated withFaculty of Engineering and Natural Sciences, Sabanci University

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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.


HK Segmentation 3D Micro-structures Image