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Technical Program
Paper Detail
| Paper: | TA-P7.2 |
| Session: | Image and Video Filtering |
| Time: | Tuesday, October 10, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
HYBRID APPROACH FOR MULTIPARAMETRIC MEAN SHIFT FILTERING |
| Authors: |
Thomas Grenier; CREATIS, UMR CNRS 5515, Inserm U630 | | | | | Chantal Revol-Muller; CREATIS, UMR CNRS 5515, Inserm U630 | | | | | Gérard Gimenez; CREATIS, UMR CNRS 5515, Inserm U630 | | |
| Abstract: |
In ultrasound imaging, robustness of the diagnosis can be improved by using many images of parameters. In this paper we propose a hybrid approach for improving Multi-Parametric Mean Shift filtering (MPMS). Multi-parametric filtering is really attractive since it works conjointly in the spatial-range domain, taking into account the spatial location of the data as well as the range values of many parameters. Hybrid MPMS is an iterative method that combines two mean shift procedures called nonblurring and blurring. Our method was positively tested on a set of simulated ultrasound data. The results show the superiority of Hybrid MPMS compared to the simple MPMS filtering. |
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