FMIPROT: FMI Image Processing Toolbox


FMI Image Processing Toolbox (FMIPROT) is a software designed to process digital image series from cameras and camera networks. It can acquire and process images from multiple camera networks on a single platform by adding connection information of the image repositories. It provides a graphical user interface to set up configurations and parameters to be used in the acquisition and processing of the images. The analysis can be run either using the GUI or via CLI with a single action that triggers a processing chain. The toolbox performs necessary tasks to acquire images from image repositories of the camera networks, process them and generate HTML reports with interactive plots along for visualization of the output data. The design allows using the toolbox with a job scheduler to run analysis for creating operational monitoring systems. Detailed information about the toolbox can be found in FMIPROT website (http://fmiprot.fmi.fi). The software is developed under the MONIMET Project, funded by EU Life+ Programme (2013-2017) (http://monimet.fmi.fi).
  • Image acquisition from multiple camera networks
  • Storing scenario conditions as files
  • Generating reports for scenario options and analyses results
  • Multiple scenarios
  • Multiple analyses in each scenario
  • Mask/ROI creation by selection with GUI
  • Filtering images according to different means of thresholds
  • Downloading and handling images
  • Quantitative image archive check
  • Expandable algorithms by plugin system
  • Customizable Plotting/Mapping of results
  • Configuring settings and running analysis from command line interface
  • Windows and Linux support.

    The software has three processing algorithms:

  • Color Fraction Extraction: Calculates red fraction index, green fraction index, blue fraction index, brightness, luminance, red channel mean, red channel median, red channel standard deviation, green channel mean, green channel median, green channel standard deviation, blue channel mean, blue channel median, and blue channel standard deviation.
  • Vegetation Indices: Calculates red fraction index, green fraction index, green-red vegetation index, green excess index.
  • Custom Color Index: Calculates an index from a mathematical formula entered by the user using average values of red, green and blue channels in ROIs. The formula supports sums, differences, multiplication, and division and operation priority by using parentheses.
  • Snow cover fraction: Calculates the fraction of snow covered pixels using georectification of the image and classification of pixels into snow and no-snow. Also provides the fraction without the georectification.
  • Snow depth: Calculates snow depth from the objects in the field by finding the intersection with the snow surface.
  • Timelapse animation: Creates a timelase video file out of available images from the cameras.
  • Georectification: Creates orthoimages and weightmasks by orthorectifying camera images. (Not applicable for too many images, only for testing purposes.)

    Copyright (c) 2018, Finnish Meteorological Institute
    Authors: Cemal Melih Tanis, Ali Nadir Arslan.
    All rights reserved.


    Current version is 0.21.0 (Beta), but user manual and the binary version are not available yet.

    >FMIPROT Github repository.


    Current binary version is 0.20.5 (Beta). Binary version of 0.21.0 will be available soon.

    >FMIPROT 0.20 (Beta) Readme
    >FMIPROT 0.20.2 (Beta) User Manual
    >FMIPROT 0.20.5 (Beta) Version History
    >FMIPROT 0.20 (Beta) License

    Downloads

    Operational monitoring (Test phase)

    Publications

  • A System for Acquisition, Processing and Visualization of Image Time Series from Multiple Camera Networks
  • Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions
  • Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016
  • Networked web-cameras monitor congruent seasonal development of birches with phenological field observations
  • Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems