3D Transalation estimation using the monogenic orientation vector
| Autor: | Denis Kouame, Remi Abbal, Adrian Basarab |
|---|---|
| Přispěvatelé: | Traitement et Compréhension d’Images (IRIT-TCI), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse III - Paul Sabatier (UT3), IEEE Signal Processing Society (SPS), IEEE Engineering in Medicine and Biology Society (EMBS) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Optical flow
02 engineering and technology 01 natural sciences Displacement (vector) 3D Speckle Tracking Signal-to-noise ratio Optical Flow [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Motion estimation 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision 010301 acoustics Decorrelation Mathematics business.industry Orientation (computer vision) Noise (signal processing) Estimator 020206 networking & telecommunications Correlation Phase Monogenic Signal Artificial intelligence business Algorithm Motion Estimation |
| Zdroj: | 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012) 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012), IEEE Signal Processing Society (SPS); IEEE Engineering in Medicine and Biology Society (EMBS), May 2012, Barcelona, Spain. pp.1591--1594, ⟨10.1109/ISBI.2012.6235879⟩ ISBI |
| DOI: | 10.1109/ISBI.2012.6235879⟩ |
| Popis: | International audience; Three dimensional motion estimation is an active research field in ultrasound imaging, motivated by the recent progress in 3D acquisition. Out-of-plane motion and pattern decorrelation induced by azimuthal displacement yield bias in 2D estimation methods. However, 3D estimation may easily become time-consuming because of the large amount of data. Authors proposed different ways to estimate 3D displacement, for the most part using Normalized Cross-Correlation (NCC) combined with original refinement methods. In this paper, we propose an alternative which uses the 3D local orientation, obtained using the monogenic signal, in order to estimate 3D local translations. We show that the use of local orientation provides better results than the NCC and the classical optical flow approach. Results on a 3D simulated ultrasound volume show that the proposed estimation is more robust to noise than classical methods. Giving a signal to noise ratio of 25 dB, results show that the mean absolute error of our orientation-based optical flow estimator is respectively (47.8%, 62.1%, 84.9%) lower than the one generated when using intensity-based optical flow in lateral, azimuthal and axial direction. |
| Databáze: | OpenAIRE |
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