3D Steerable Filter for Foam Junction Detection
Master Semester Project
Wavelet representations are ideally suited to local feature detection in images. In particular, steerable wavelets (and steerable filters) have gained interest for efficient and accurate rotationally-invariant object detection. This is especially relevant for biological applications. The goal of this project is to implement a 3D steerable filter for junction detection in volumetric foams as a Matlab program or an ImageJ plugin with a user interface. The method will be used to detect junctions in various three-dimensional foam images.
- Adrien Depeursinge, email@example.com, 021 693 5115, BM 4141
- Michael Unser, firstname.lastname@example.org, 021 693 51 75, BM 4.136
- Zsuzsanna Püspöki