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Welcome to the Wiki of Multi-Template matching in Fiji!
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You can find a similar implementation in KNIME in this repo.
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.
For more theoretical details, see the section Template Matching : How does it work ?
If you use this implementation for your research, please cite:
Thomas, LSV and Gehrig, J (2019) Multi-Template Matching: a versatile tool for object-localization in microscopy images, Journal XXX, Date 123 doi 456
This plugin is using OpenCV in Fiji thanks to IJ-OpenCV.
see also:
Domínguez, César, Jónathan Heras, and Vico Pascual. "IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine." Computers in biology and medicine 84 (2017): 189-194.
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.
