Abstract
An autofocusing procedure is routinely performed under a microscope to maintain micro-objects within the depth of field of an objective lens. The aim of this procedure is to search for an optimum image with sharp edges of the outlines and features of the micro-objects by tuning the position of the objective lens. This paper describes a new robust autofocusing search algorithm based on bare-bones particle swarm optimization (BBPSO). The proposed search algorithm has been validated experimentally using sharpness analysis based on image variance.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 |
| Pages | 213-218 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 - Takamastu, Japan Duration: Aug 4 2013 → Aug 7 2013 |
Other
| Other | 2013 10th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013 |
|---|---|
| Country | Japan |
| City | Takamastu |
| Period | 8/4/13 → 8/7/13 |
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Keywords
- Autofocus
- embryo
- image sharpness
- microscopy
- Particle swarms
ASJC Scopus subject areas
- Artificial Intelligence
- Electrical and Electronic Engineering
- Mechanical Engineering
Cite this
Robust autofocusing in microscopy using particle swarm optimization. / Bahadur, Issam M.; Mills, James K.
2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013. 2013. p. 213-218 6617920.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Robust autofocusing in microscopy using particle swarm optimization
AU - Bahadur, Issam M.
AU - Mills, James K.
PY - 2013
Y1 - 2013
N2 - An autofocusing procedure is routinely performed under a microscope to maintain micro-objects within the depth of field of an objective lens. The aim of this procedure is to search for an optimum image with sharp edges of the outlines and features of the micro-objects by tuning the position of the objective lens. This paper describes a new robust autofocusing search algorithm based on bare-bones particle swarm optimization (BBPSO). The proposed search algorithm has been validated experimentally using sharpness analysis based on image variance.
AB - An autofocusing procedure is routinely performed under a microscope to maintain micro-objects within the depth of field of an objective lens. The aim of this procedure is to search for an optimum image with sharp edges of the outlines and features of the micro-objects by tuning the position of the objective lens. This paper describes a new robust autofocusing search algorithm based on bare-bones particle swarm optimization (BBPSO). The proposed search algorithm has been validated experimentally using sharpness analysis based on image variance.
KW - Autofocus
KW - embryo
KW - image sharpness
KW - microscopy
KW - Particle swarms
UR - http://www.scopus.com/inward/record.url?scp=84887895584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887895584&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2013.6617920
DO - 10.1109/ICMA.2013.6617920
M3 - Conference contribution
SN - 9781467355582
SP - 213
EP - 218
BT - 2013 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2013
ER -