Details
| Original language | English |
|---|---|
| Title of host publication | 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing |
| Subtitle of host publication | Proceedings |
| Pages | 581-584 |
| Volume | 5 |
| Publication status | Published - 24 Jul 2006 |
| Event | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: 14 May 2006 → 19 May 2006 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| ISSN (Print) | 1520-6149 |
Abstract
In this contribution, the Lee and Rosenfeld's local Shape From Shading (SFS) algorithm, the Tsai and Shah's linear SFS algorithm and the Bichsel and Pentland's propagation SFS algorithm are investigated with the aim of selecting the most suitable for three-dimensional shape estimation of clusters of mammalian Baby Hamster Kidney cells (BHK cells) from an intensity image captured by an in-situ microscope in an industrial mammalian cell culture process. All three were implemented and tested using several thousand intensity images captured under varying experimental conditions. The Bichsel and Pentland's SFS algorithm was finally selected as the most suitable algorithm for three-dimensional shape estimation of BHK cell clusters. It is fast and provides less noise and more detailed depth estimates and therefore the best overall performance.
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Signal Processing
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2006 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. Vol. 5 2006. p. 581-584 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Three-dimensional shape estimation of BHK cell clusters from a still image based on shape from shading for in-situ microscopy
AU - Martinez, G.
AU - Frerichs, J. G.
AU - Joeris, K.
AU - Konstantinov, K.
AU - Scheper, T.
PY - 2006/7/24
Y1 - 2006/7/24
N2 - In this contribution, the Lee and Rosenfeld's local Shape From Shading (SFS) algorithm, the Tsai and Shah's linear SFS algorithm and the Bichsel and Pentland's propagation SFS algorithm are investigated with the aim of selecting the most suitable for three-dimensional shape estimation of clusters of mammalian Baby Hamster Kidney cells (BHK cells) from an intensity image captured by an in-situ microscope in an industrial mammalian cell culture process. All three were implemented and tested using several thousand intensity images captured under varying experimental conditions. The Bichsel and Pentland's SFS algorithm was finally selected as the most suitable algorithm for three-dimensional shape estimation of BHK cell clusters. It is fast and provides less noise and more detailed depth estimates and therefore the best overall performance.
AB - In this contribution, the Lee and Rosenfeld's local Shape From Shading (SFS) algorithm, the Tsai and Shah's linear SFS algorithm and the Bichsel and Pentland's propagation SFS algorithm are investigated with the aim of selecting the most suitable for three-dimensional shape estimation of clusters of mammalian Baby Hamster Kidney cells (BHK cells) from an intensity image captured by an in-situ microscope in an industrial mammalian cell culture process. All three were implemented and tested using several thousand intensity images captured under varying experimental conditions. The Bichsel and Pentland's SFS algorithm was finally selected as the most suitable algorithm for three-dimensional shape estimation of BHK cell clusters. It is fast and provides less noise and more detailed depth estimates and therefore the best overall performance.
UR - http://www.scopus.com/inward/record.url?scp=33947697860&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2006.1660409
DO - 10.1109/ICASSP.2006.1660409
M3 - Conference contribution
AN - SCOPUS:33947697860
SN - 142440469X
SN - 9781424404698
VL - 5
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 581
EP - 584
BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing
T2 - 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Y2 - 14 May 2006 through 19 May 2006
ER -