Goodness-of-fit techniques
Phase-based disparity measurement
CVGIP: Image Understanding
The Data Analysis Briefbook
Signal Processing for Computer Vision
Signal Processing for Computer Vision
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space
Journal of Mathematical Imaging and Vision
On the Choice of Band-Pass Quadrature Filters
Journal of Mathematical Imaging and Vision
Local Steerable Phase (LSP) Feature for Face Representation and Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Alignment of Viewing-Angle Dependent Ultrasound Images
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Application of 3D local phase theory in vessel segmentation
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Dense optical flow estimation from the monogenic curvature tensor
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Spatio-temporal registration of real time 3D ultrasound to cardiovascular MR sequences
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Accurate airway wall estimation using phase congruency
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
IEEE Transactions on Signal Processing
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The fundamental property of the analytic signal is the split of identity, meaning the separation of quantitative and qualitative information in form of the local phase and the local amplitude, respectively. Especially the structural representation, independent of brightness and contrast, of the local phase is interesting for numerous image processing tasks. Recently, the extension of the analytic signal from 1D to 2D, covering also intrinsic 2D structures, was proposed. We show the advantages of this improved concept on ultrasound RF and B-mode images. Precisely, we use the 2D analytic signal for the envelope detection of RF data. This leads to advantages for the extraction of the information-bearing signal from the modulated carrier wave. We illustrate this, first, by visual assessment of the images, and second, by performing goodness-of-fit tests to a Nakagami distribution, indicating a clear improvement of statistical properties. Finally, we show that the 2D analytic signal allows for an improved estimation of local features on B-mode images.