Improving Accuracy of Optical Flow of Heeger's Original Method on Biomedical Images
| Authors | |
|---|---|
| Year of publication | 2010 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 7th International Conference on Image Analysis and Recognition, ICIAR 2010 |
| MU Faculty or unit | |
| Citation | |
| web | http://cbia.fi.muni.cz/projects/optical-flow-for-live-cell-imaging.html |
| Doi | http://dx.doi.org/10.1007/978-3-642-13772-3_27 |
| Field | Informatics |
| Keywords | energy-based optical flow image processing |
| Description | The paper is focused on the computation of optical flow from time-lapse 2D images acquired from fluorescence optical microscope. The Heeger's traditional established method based on spatio-temporal filtering is adopted and modified in order to solve issues that arose from this sort of image data. In particular, a scheme for effective and fast computations of complex Gabor convolutions is used. The filter tuning is changed to better support the detection of movement. The least squares fitting of the original method is also revised. A parametric study was conducted to assess optimal parameters. With optimal parameters, the proposed method showed lower average angular errors than the original. C++ implementation is available on the author's web pages. |
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