Christian-Albrechts-University of Kiel Christian-Albrechts-University of Kiel
Faculty of Engineering
Institute of Computer Science
Cognitive Systems
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Project title:Studienarbeit: Analyzing Riesz Transforms of Arbitrary Order in Radon Space
Participants:Fleischmann, O., Wietzke, L.

Creating a model for image analysis which extends the well known analytic signal from one-dimensional case to two dimensions is still a challenging task. In order to create a model which is able to split the signal into independent properties, also known as split of identity, and which is invariant under operations such as rotation, a lot of approaches have been made. Up to now they all only cover special type of signals or lack some of the features mentioned above. M. Felsberg introduced the monogenic signal in which allows an orthogonal decomposition of intrinsically one dimensional signals into local amplitude, local phase and local orientation. It uses the Riesz transform as a generalization of the Hilbert transform in two dimensions. Although intrinsically one-dimensional signals can completely be described in a rotation invariant manner, the monogenic signal is not able to describe intrinsically two dimensional signals. Recently an extension of the monogenic signal has been introduced by D. Zang. The monogenic curvature tensor describes two-dimensional signals in a dierential geometric setting. Signals are interpreted as surfaces in Monge patch form to extract curvature information. The mean and gaussian curvature characterize the surface and therefore give rise to the intrinsic dimension of the signal. Using the monogenic curvature tensor, a way to determine the main orientation and the local phase of intrinsically one- and special two-dimensional signals has been shown. In this work we will pick up the idea to construct a tensor pair which is able to describe a signal. Instead of using dierential geometry we will use the fact, that second order derivatives can be expressed in terms of the Riesz transform which we will express in terms of the Radon transform. The Radon transform provides a descriptive way to represent the Riesz transform. It is even possible to visually follow the steps involved in the Riesz transform. Properties of the Radon transform will enable us to determine the main orientation and phase of intrinsically one-dimensional signals as well as the main orientation and the apex angle of intrinsically two-dimensional signals which are superpositions of two one-dimensional signals. Assuming the main orientation of the single intrinsically one-dimensional signals to be known, we will even be able to determine the local phases of the two signals. It will turn out that our tensor pair is exactly the monogenic curvature tensor and that the main orientation proposed in is equivalent to the main orientation we determined.