Maximilian LodererTechnische Universität Dresden | TUD · Institute for Solid Mechanics
Maximilian Loderer
Dipl.-Ing. (TUM)
About
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Introduction
Skills and Expertise
Additional affiliations
April 2018 - present
Publications
Publication (1)
Since edges are one of the most commonly used recognition features in object detection and image segmentation, their robust and clear recognition as well as the calculation in real time is important for most applications. It could be shown that the fractional filter CRONE leads to significantly better results in noisy images than classical filters...
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Projects
Projects (2)
Plug'n play system for infrastructure measurement in the area of light rail vehicles (LRV)
