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Welcome to the MultipleTemplateMatching-KNIME wiki!
Template matching is an algorithm that can be used for object-detections in grayscale images.
The algorithm computes the probability to find one (or several) template images provided by the user into a larger image.
The menu bar on the right side links the different wiki sections with instructions for installations, and video tutorial.
Refer to the implementation in Fiji for more in-depth documentation about the method.
If you use this implementation for your research, please cite:
Multi-Template Matching: a versatile tool for object-localization in microscopy images;
Laurent SV Thomas, Jochen Gehrig
bioRxiv 619338; doi: https://doi.org/10.1101/619338
The content of this wiki (including illustrations and videos) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work has been part of the PhD project of Laurent Thomas under supervision of Dr. Jochen Gehrig at:
ACQUIFER a division of DITABIS AG
Digital Biomedical Imaging Systems AG
Freiburger Str. 3
75179 Pforzheim
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 721537 ImageInLife.