| Paper: | IMDSP-P8.4 | ||
| Session: | Biomedical Imaging | ||
| Time: | Wednesday, May 17, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Biomedical Imaging | ||
| Title: | Three-Dimensional Shape Estimation of BHK Cell Clusters from a Still Image Based on Shape from Shading for In-Situ Microscopy | ||
| Authors: | Geovanni Martinez, University of Costa Rica, Costa Rica; Jan-Gerd Frerichs, University of Hannover, Germany; Klaus Joeris, Konstantin Konstantinov, Bayer Healthcare, United States; Thomas Scheper, University of Hannover, Germany | ||
| 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. For selection, they all were implemented and performed a number of experiments on thousands of real intensity images. Because of its good performance, i.e. it is fast and provides less noise and more detailed depth estimates, the Bichsel and Pentland's SFS algorithm was finally selected as the most suitable algorithm for three-dimensional shape estimation of BHK cell clusters. | ||
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