Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 21st International Conference on Electronics Communications and Computers |
| Seiten | 1-4 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - 11 Apr. 2011 |
| Veranstaltung | 21st International Conference on Electronics Communications and Computers, CONIELECOMP 2011 - Cholula, Mexiko Dauer: 28 Feb. 2011 → 2 März 2011 |
Abstract
This paper describes a new bubble segmentation algorithm based on shape from shading for in-situ microscopy. An in-situ microscope is an instrument to capture and analyze intensity images of cells inside of a bioreactor with minimal operator intervention and without the risk of culture contamination. For bubble segmentation, the closed bubble boundaries are first extracted by thresholding a depth map. The depth map is estimated by applying the Bichsel and Pentland's Shape From Shading algorithm. Then, each extracted closed bubble boundary is filled in to obtained the bubble regions. The experimental results revealed an average processing time of 2.68 seconds and very promising bubble segmentation results.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Hardware und Architektur
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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21st International Conference on Electronics Communications and Computers. 2011. S. 1-4.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Bubble Segmentation Based on Shape From Shading for In-Situ Microscopy
AU - Martinez, Geovanni
AU - Frerichs, Jan Gerd
AU - Scheper, Thomas
PY - 2011/4/11
Y1 - 2011/4/11
N2 - This paper describes a new bubble segmentation algorithm based on shape from shading for in-situ microscopy. An in-situ microscope is an instrument to capture and analyze intensity images of cells inside of a bioreactor with minimal operator intervention and without the risk of culture contamination. For bubble segmentation, the closed bubble boundaries are first extracted by thresholding a depth map. The depth map is estimated by applying the Bichsel and Pentland's Shape From Shading algorithm. Then, each extracted closed bubble boundary is filled in to obtained the bubble regions. The experimental results revealed an average processing time of 2.68 seconds and very promising bubble segmentation results.
AB - This paper describes a new bubble segmentation algorithm based on shape from shading for in-situ microscopy. An in-situ microscope is an instrument to capture and analyze intensity images of cells inside of a bioreactor with minimal operator intervention and without the risk of culture contamination. For bubble segmentation, the closed bubble boundaries are first extracted by thresholding a depth map. The depth map is estimated by applying the Bichsel and Pentland's Shape From Shading algorithm. Then, each extracted closed bubble boundary is filled in to obtained the bubble regions. The experimental results revealed an average processing time of 2.68 seconds and very promising bubble segmentation results.
UR - http://www.scopus.com/inward/record.url?scp=79955723170&partnerID=8YFLogxK
U2 - 10.1109/CONIELECOMP.2011.5749321
DO - 10.1109/CONIELECOMP.2011.5749321
M3 - Conference contribution
AN - SCOPUS:79955723170
SN - 9781424495573
SP - 1
EP - 4
BT - 21st International Conference on Electronics Communications and Computers
T2 - 21st International Conference on Electronics Communications and Computers, CONIELECOMP 2011
Y2 - 28 February 2011 through 2 March 2011
ER -