Image-based plant stomata phenotyping

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dc.contributor.authorLaga, H.
dc.contributor.authorShahinnia, F.
dc.contributor.authorFleury, D.
dc.contributor.conference13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014) (10 Dec 2014 - 12 Dec 2014 : Marina Bay Sands, Singapore)
dc.date.issued2014
dc.descriptionListed in the contents as: Image-based plant stornata phenotyping
dc.description.abstractWe propose in this paper a fully automatic approach for image-based plant stomata phenotyping. Given a microscopic image of a plant leaf surface, our goal is to automatically detect stomata cells and measure their morphological and structural features, such as stomata opening length and width, and size of the guard cells. The main challenge in developing such tool is the lack of contrast between the stomata cell region and its surrounding background. Our approach uses template matching to detect individual stomata cells and local analysis to measure stomata features within the detected stomata regions. It is fully automatic and computationally efficient. Thus, it will enable plant biologists to perform large scale analysis of stomata morphology, which in turn will help in developing understanding and controlling plant's response to various environmental stresses (e.g. drought and soil salinity).
dc.description.statementofresponsibilityHamid Laga, Fahimeh Shahinnia, Delphine Fleury
dc.identifier.citationConference proceedings, 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), 2014, pp.1-6
dc.identifier.doi10.1109/ICARCV.2014.7064307
dc.identifier.isbn9781479951994
dc.identifier.issn2474-2953
dc.identifier.orcidFleury, D. [0000-0002-7077-4103]
dc.identifier.urihttp://hdl.handle.net/2440/88732
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofseriesInternational Conference on Control Automation Robotics and Vision
dc.rightsCopyright status unknown
dc.source.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7064307
dc.titleImage-based plant stomata phenotyping
dc.title.alternativeImage-based plant stornata phenotyping
dc.typeConference paper
pubs.publication-statusPublished

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