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@ARTICLE{Minervini:276442,
      author       = {Minervini, Massimo and Scharr, Hanno and Tsaftaris,
                      Sotirios A.},
      title        = {{T}he significance of image compression in plant
                      phenotyping applications},
      journal      = {Functional plant biology},
      volume       = {42},
      number       = {10},
      issn         = {1445-4408},
      address      = {Collingwood, Victoria},
      publisher    = {CSIRO Publ.},
      reportid     = {FZJ-2015-06881},
      pages        = {971 - 988},
      year         = {2015},
      abstract     = {We currently witness an increasingly higher throughput in
                      image-based plant phenotyping experiments. The majority of
                      imaging data are collected based on complex automated
                      procedures, and are then post-processed to extract
                      phenotyping related information. In this article we show
                      that image compression used in such procedures may
                      compromise phenotyping results and needs to be taken into
                      account. We motivate the paper with three illuminating proof
                      of concept experiments which demonstrate that compression
                      (especially in its most common lossy form of JPEG) does
                      affect measurements of plant traits and errors introduced
                      can be high. We further systematically explore how
                      compression affects measurement fidelity, quantified as
                      effects on image quality as well as errors in extracted
                      plant visual traits. To do so we evaluate a variety of
                      image-based phenotyping scenarios, including size and color
                      of shoots, leaf and root growth, as well as root system
                      analysis. Overall, we find that compression has a
                      considerable effect on several types of analyses and that
                      proper care is necessary to ensure that such choice does not
                      affect biological findings. In order to avoid or at least
                      minimize introduced measurement errors, for each scenario we
                      derive recommendations and provide guidelines on how to
                      identify suitable compression options in practice. We also
                      find that certain compression choices can offer beneficial
                      returns, in terms of reducing the amount of data storage
                      without compromising phenotyping results. This may enable
                      even higher throughput experiments in the future.},
      cin          = {IBG-2},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000363419900004},
      doi          = {10.1071/FP15033},
      url          = {https://juser.fz-juelich.de/record/276442},
}