Feature Point based Multimodal Plant Image Registration - fpReg v.0.1

Introduction

fpReg is developed within the scope of a research study [1] aiming to investigate the parameter-dependent performance of seven feature point (FP) based methods for automated alignment of multimodal plant images.

Key Features

The tool performs affine registration of a pair of selected images (for example, FLU and VIS images of the same plant shoot) using seven different FP registration techniques (i.e. SURF, FAST, MSER, Harris, MinEigen, BRISK, KAZE) as well as their combination.

Downloads

download fpReg for Windows x64 (~300MB)
download fpReg for Linux (~300MB)

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: https://www.microsoft.com/en-us/download/details.aspx?id=48145.

Some information on dependencies of the MATLAB run-time components in Linux can be found here: https://de.mathworks.com/matlabcentral/answers/358052-is-there-a-list-of-matlab-runtime-dependencies.

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

A few examples of multimodal plant images (such as original and segmented FLU/VIS images) are included in the above *.zip archives or can be downloaded separately from here. More examples of plant images can be downloaded from larger file repositories:

http://dx.doi.org/10.5447/IPK/2017/24
http://dx.doi.org/10.5447/IPK/2017/25
http://dx.doi.org/10.5447/IPK/2017/26

How to use

After unpacking the above *.zip file into a dedicated folder, run the executable (e.g., fpReg.exe on Windows, included *.sh script on Linux). Select a pair corresponding plant images to be registered that can be found in the folder "examples_of_plant_images" (e.g., Maize_side_vis_seg_old_1.png and Maize_side_flu_seg_old_1.png). As soon as two images are loaded, the program will automatically try to perform image co-registration and shows the result. To change between different registration methods and options, select the corresponding buttons on the GUI window.

References

[1] Henke M, Junker A, Neumann K, Altmann T, Gladilin E (2019) Comparison of feature point detectors for multimodal image registration in plant phenotyping. PLoS ONE 14(9): e0221203. https://doi.org/10.1371/journal.pone.0221203

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
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