Multimodal Plant Image Registration - mPIR v.0.1


mPIR is developed within the scope of a research study [1] aiming to investigate the parameter-dependent performance of three different methods for automated alignment of multimodal plant images including feature point matching (FP), phase correlation (PC), and intensity information (INT) based registration techniques.

Key Features

The tool performs affine registration of a pair of selected images (for example, FLU and VIS or FLU and NIR or VIS and NIR images of the same plant shoot) using three registration techniques (i.e. FP, PC, INT) and shows the result as a blended overlay. The user can adjust diverse algorithmic parameters and study their effects on the result of image registration.


download Windows x64 (~400MB)
download Linux (~400MB)
Quick Guide (8MB)

By downloading, installing and/or using this software the user agrees with the following license conditions.

This software requires MATLAB run time libraries (2018b) to be installed:

MATLAB run time for Windows x64 (~2GB).
MATLAB run time for Linux (~2GB).

Windows users should also install the run-time components from the following link:

Some information on dependencies of the MATLAB run-time components in Linux can be found here:

General hardware requirements for MATLAB applications can be found here:
For processing of image files of the 4-8 MP size such as provided with the supplementary data, 8GB or more RAM is recommended.

Quick Start

For install notes and further informations, please see the Quick Guide.


[1] Henke, M., Junker, A., Neumann, K., Altmann, T., Gladilin, E., Comparison and extension of three methods for registration of multi-modal plant images, Plant Methods 15:44, 2019.

© 2019, Image Analysis Group, IPK Gatersleben Impressum
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
OT Gatersleben
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06466 Stadt Seeland,
Telefon: +49 (0)39482 50
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