Multi-Template matching is an easy-to-use object-detection algorithm.
It allows to search one (or several) template images into a larger image.
We currently have implemented Multi-Template-Matching (MTM) in:
Activate the IJ-OpenCV and Multi-Template Matching update site.
pip install Multi-Template-Matching (case sensitive and mind the - )
Refer to the wiki sections of the respective GitHub repository for the implementation-specific documentation.
In particular, the Fiji and KNIME implementation have dedicated youtube tutorials, while the python implementation comes with example notebooks that can be executed in a browser.
There are a couple of generic documentation ressources:
- the open-access publication
- YouTube playlist
- Flowchart of the implementation
- Multi-Channel and 3D image
- Poster of the project available on Zenodo
If you use these implementations, 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
Download the citation as a ris file.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 721537 “ImageInLife”.