New centroid detection algorithm for the Shack-Hartmann wavefront sensor

2002 ◽  
Author(s):  
Sung-Hoon Baik ◽  
Seung-Kyu Park ◽  
Cheol-Jung Kim ◽  
Young-Seok Seo ◽  
Young-June Kang
Keyword(s):  
Detection Algorithm ◽  
Wavefront Sensor ◽  
Centroid Detection

ONLINE SURFACE MEASUREMENT WITH DIGITAL SHACK–HARTMANN WAVEFRONT SENSOR

2010 ◽  
Vol 09 (03) ◽  
pp. 123-133
Author(s):  
XIAOMING YIN ◽  
LIPING ZHAO ◽  
XIANG LI ◽  
ZHONGPING FANG
Keyword(s):  
Good Accuracy ◽  
Focal Spot ◽  
Detection Method ◽  
Surface Profile ◽  
Wavefront Sensor ◽  
Surface Measurement ◽  
Profile Measurement ◽  
Practical Applications ◽  
Centroid Detection ◽  
3D Profile

Shack–Hartmann wavefront sensor splits the incident wavefront into many subsections and transfers the distorted wavefront detection into the centroid measurement. The accuracy of the centroid measurement determines the accuracy of the SHWS. In this paper, we have presented an automatic centroid measurement method based on the image processing technology for practical applications of the digital SHWS in surface profile measurement. The method can detect the centroid of each focal spot accurately and robustly by eliminating the influences of various noises. Based on this centroid detection method, we have developed a digital SHWS system which can automatically detect centroids of focal spots, reconstruct the wavefront, and measure the 3D profile of the surface. The experimental results demonstrate that the system has good accuracy, repeatability and compatibility to optical misalignment. The system is suitable for online applications of surface measurement.

A center detection algorithm for Shack–Hartmann wavefront sensor

2007 ◽  
Vol 39 (2) ◽  
pp. 262-267 ◽  
Author(s):  
Sung-Hoon Baik ◽  
Seung-Kyu Park ◽  
Cheol-Jung Kim ◽  
Byungheon Cha
Keyword(s):  
Detection Algorithm ◽  
Wavefront Sensor
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