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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.
This workflow relies on the associated python package Multi-Template-Matching.
If you use this implementation for your research, please cite:
Thomas, L.S.V., Gehrig, J. Multi-template matching: a versatile tool for object-localization in microscopy images.
BMC Bioinformatics 21, 44 (2020). https://doi.org/10.1186/s12859-020-3363-7
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.
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.
