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Wavelet-Based Focus Measure and 3-D Surface Reconstruction Method for Microscopy Images

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3 Author(s)
Hui Xie ; Robotics Institute, Harbin Institute of Technology, 150001 Harbin, P. C. China. Email: ; Weibin Rong ; Lining Sun

Microscopy imaging can not achieve both high resolution and wide image space simultaneously. Autofocusing and 3-D surface reconstruction techniques are of fundamental importance to automated micromanipulation in providing high lever task understanding, task planning and real time control. In this paper, a new wavelet-based focus measure is developed, which provides significantly better depth resolution accuracy, and robustness than previous ones. A complex valued wavelet-based microscopic image fusion method and 3-D surface reconstruction scheme were proposed. Purpose of image fusion is to combine those multi-focus images into one single clear composite image with an extended depth-of-field. Combined 2-D position data of "in focus" pixels with a height map obtained from the proposed image fusion method, a 3-D surface reconstruction algorithm of microparts is developed. Experimental results validate the performances of the proposed image fusion and 3-D surface reconstruction methods

Published in:

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

Date of Conference:

Oct. 2006