Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data


This paper introduces eigenvalue derivatives as a fundamental tool to discern the different types of edges present in matrix-valued images. It reviews basic results from perturbation theory, which allow one to compute such derivatives, and shows how they can be used to obtain novel edge detectors for matrix-valued images. It is demonstrated that previous… (More)
DOI: 10.1007/978-3-540-69321-5_20


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