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# Introduction
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# Documentation
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Template matching is an algorithm that can be used for object-detections in images.
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The algorithm computes the probability to find one (or several) template images provided by the user into a larger image.
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For more theoretical details, see the section [Template Matching : How does it work ?](https://github.com/multi-template-matching/MultiTemplateMatching-Fiji/wiki/Template-Matching%2C-How-does-it-work).
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The algorithm computes the probability to find one (or several) template images provided by the user.
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See the [wiki section](https://github.com/multi-template-matching/MultiTemplateMatching-Fiji/wiki/) for the documentation.
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You can find a similar implementation in KNIME in this [repo](https://github.com/multi-template-matching/MultipleTemplateMatching-KNIME).
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You can find a similar implementation in:
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- [Python](https://github.com/multi-template-matching/MultiTemplateMatching-Python)
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- [KNIME](https://github.com/multi-template-matching/MultipleTemplateMatching-KNIME) relying on the python implementation
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