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David Rousseau
Researcher at University of Angers
Publications - 183
Citations - 2935
David Rousseau is an academic researcher from University of Angers. The author has contributed to research in topics: Stochastic resonance & Noise (signal processing). The author has an hindex of 24, co-authored 176 publications receiving 2374 citations. Previous affiliations of David Rousseau include University of Lyon & Institut national de la recherche agronomique.
Papers
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Journal ArticleDOI
On the use of depth camera for 3D phenotyping of entire plants
Yann Chéné,David Rousseau,Philippe Lucidarme,Jessica Bertheloot,Valérie Caffier,Philippe Morel,ítienne Belin,François Chapeau-Blondeau +7 more
TL;DR: An original algorithm to segment depth images of plant from a single top-view is proposed to open interesting perspectives in the direction of high-throughput phenotyping in controlled environment or in field conditions.
Journal ArticleDOI
High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis.
Céline Rousseau,Céline Rousseau,Céline Rousseau,Etienne Belin,Edouard Bove,Edouard Bove,Edouard Bove,David Rousseau,David Rousseau,Frédéric Fabre,Romain Berruyer,Romain Berruyer,Romain Berruyer,Jacky Guillaumes,Jacky Guillaumes,Jacky Guillaumes,Charles Manceau,Marie-Agnès Jacques,Marie-Agnès Jacques,Marie-Agnès Jacques,Tristan Boureau +20 more
TL;DR: The interest of this image analysis procedure for assessing the levels of quantitative resistance is illustrated with the quantitation of disease severity on five commercial varieties of bean inoculated with Xff CFBP4834-R.
Journal ArticleDOI
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview
TL;DR: This article is the first attempt in briefing all published papers in multispectral imaging applications in seed phenotyping and quality monitoring by providing some examples and research results in characterizing physicochemical quality traits, predicting physiological parameters, detection of defect, pest infestation and seed health.
Journal ArticleDOI
Noise-enhanced performance for an optimal Bayesian estimator
TL;DR: A novel instance of a stochastic resonance effect, under the form of a noise-improved performance, is shown to be possible for an optimal Bayesian estimator, achieving the minimum of the mean square estimation error.
Journal ArticleDOI
Suprathreshold stochastic resonance and noise-enhanced Fisher information in arrays of threshold devices.
TL;DR: It is established that enhancement of the Fisher information can be obtained by addition of independent noises to the thresholds in the array, and improvement by noise is shown to be possible for the estimation error of the maximum likelihood estimator.