From image processing to computer vision: plant imaging grows up
Hannah Dee A C and Andrew French BA Computer Science, Aberystwyth University, Penglais, Aberystwyth SY23 3DB, UK.
B Schools of Biosciences and Computer Science, Centre for Plant Integrative Biology, University of Nottingham, Nottingham, UK.
C Corresponding author. Email: hmd1@aber.ac.uk
Functional Plant Biology 42(5) iii-v https://doi.org/10.1071/FPv42n5_FO
Published: 13 April 2015
Abstract
Image analysis is a field of research which, combined with novel methods of capturing images, can help to bridge the genotype–phenotype gap, where our understanding of the genotype has until now been leaps and bounds ahead of our ability to work with the phenotype. Methods of automating image capture in plant science research have increased in usage recently, as has the need to provide objective and highly accurate measures on large image datasets, thereby bringing the phenotype back to the centre of interest. In this special issue of Functional Plant Biology, we present some recent advances in the field of image analysis, and look at examples of different kinds of image processing and computer vision, which is occurring with increasing frequency in the plant sciences.
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