A Novel SFP ExtractingTracking Framework for Rigid Microstructure Measurement
Joint Authors
Liu, Sheng
Fang, Ting
Chen, Zichen
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
3D measurement and reconstruction of rigid microstructures rely on the precise matches of structural feature points (SFPs) between microscopic images.
However, most of the existing algorithms fail in extracting and tracking at microscale due to the poor quality of the microscopic images.
This paper presents a novel framework for extracting and matching SFPs in microscopic images under two stereo microscopic imaging modes in our system, that is, fixed-positioning stereo and continuous-rotational stereo modes, respectively.
A 4-DOF (degree of freedom) micro visual measurement system is developed for 3D projective structural measurement of rigid microstructures using the SFPs obtained from microscopic images by the proposed framework.
Under the fixed-positioning stereo mode, a similarity-pictorial structure algorithm is designed to preserve the illumination invariance in SFPs matching, while a method based on particle filter with affine transformation is developed for accurate tracking of multiple SFPs in image sequence under the continuous-rotational stereo mode.
The experimental results demonstrate that the problems of visual distortion, illumination variability, and irregular motion estimation in micro visual measurement process can be effectively resolved by the proposed framework.
American Psychological Association (APA)
Liu, Sheng& Fang, Ting& Chen, Zichen. 2011. A Novel SFP ExtractingTracking Framework for Rigid Microstructure Measurement. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-1001536
Modern Language Association (MLA)
Liu, Sheng…[et al.]. A Novel SFP ExtractingTracking Framework for Rigid Microstructure Measurement. Mathematical Problems in Engineering No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-1001536
American Medical Association (AMA)
Liu, Sheng& Fang, Ting& Chen, Zichen. A Novel SFP ExtractingTracking Framework for Rigid Microstructure Measurement. Mathematical Problems in Engineering. 2011. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-1001536
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001536