an image pattern tracking algorithm for time-resolved measurement of mini- and micro-scale motion of complex object时间分辨测量的图像模式跟踪算法迷你和微尺度运动的复杂对象.pdfVIP
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an image pattern tracking algorithm for time-resolved measurement of mini- and micro-scale motion of complex object时间分辨测量的图像模式跟踪算法迷你和微尺度运动的复杂对象
Algorithms 2009, 2, 533-549; doi:10.3390/a2010533
OPEN ACCESS
algorithms
ISSN 1999-4893
/journal/algorithms
Article
An Image Pattern Tracking Algorithm for Time-resolved
Measurement of Mini- and Micro-scale Motion of Complex
Object
*
Lichuan Gui and John M. Seiner
National Center for Physical Acoustics (NCPA), University of Mississippi, 1 Coliseum Drive,
University, MS 38677, Unites States
* Author to whom correspondence should be addressed: lcgui@
Received: 16 January 2009; in revised form: 17 February 2009 / Accepted: 3 March 2009 /
Published: 13 March 2009
Abstract: An image pattern tracking algorithm is described in this paper for time-resolved
measurements of mini- and micro-scale movements of complex objects. This algorithm
works with a high-speed digital imaging system, which records thousands of successive
image frames in a short time period. The image pattern of the observed object is tracked
among successively recorded image frames with a correlation-based algorithm, so that the
time histories of the position and displacement of the investigated object in the camera
focus plane are determined with high accuracy. The speed, acceleration and harmonic
content of the investigated motion are obtained by post processing the position and
displacement time histories. The described image pattern tracking algorithm is tested with
synthetic image patterns and verified with tests on live insect
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