Skip to Main content
Number of documents


Emmanuel DENIMAL publications

Journal articles8 documents

  • Christelle Gée, Emmanuel Denimal, Josselyn Merienne, Annabelle Larmure. Evaluation of weed impact on wheat biomass by combining visible imagery with a plant growth model: towards new non-destructive indicators for weed competition. Precision Agriculture, Springer Verlag, 2021, 19p. ⟨10.1007/s11119-020-09776-6⟩. ⟨hal-03103918⟩
  • Stéphane Guyot, Laurence Pottier, Lucie Bertheau, Jennifer Dumont, Eminence Dorelle Hondjuila Miokono, et al.. Increased xerotolerance of Saccharomyces cerevisiae during an osmotic pressure ramp over several generations. Microbial Biotechnology, Wiley, 2021, pp.1-17. ⟨10.1111/1751-7915.13789⟩. ⟨hal-03174738⟩
  • Christelle Gée, Emmanuel Denimal. RGB Image-Derived Indicators for Spatial Assessment of the Impact of Broadleaf Weeds on Wheat Biomass. Remote Sensing, MDPI, 2020, 12 (18), pp.2982. ⟨10.3390/rs12182982⟩. ⟨hal-02958624⟩
  • Ambroise Marin, Emmanuel Denimal, Lucie Bertheau, Stéphane Guyot, Ludovic Journaux, et al.. Automatic Counting of Intra-Cellular Ribonucleo-Protein Aggregates in Saccharomyces cerevisiae Using a Textural Approach. Microscopy and Microanalysis, Cambridge University Press (CUP), 2019, 25 (1), pp.164-179. ⟨10.1017/S1431927619000084⟩. ⟨hal-02171876⟩
  • Thierry Tran, Emmanuel Denimal, Céline Lafarge, Ludovic Journaux, John Aldo Lee, et al.. Effect of high hydrostatic pressure on extraction of B-phycoerythrin from Porphyridium cruentum: Use of confocal microscopy and image processing. Algal Research - Biomass, Biofuels and Bioproducts, Elsevier, 2019, 38 (UNSP 101394), pp.1-8. ⟨10.1016/j.algal.2018.101394⟩. ⟨hal-02173597⟩
  • Emmanuel Denimal, Ambroise Marin, Stéphane Guyot, Ludovic Journaux, Paul Molin. Automatic Biological Cell Counting Using a Modified Gradient Hough Transform. Microscopy and Microanalysis, Cambridge University Press (CUP), 2017, 23 (01), pp.11 - 21. ⟨10.1017/S1431927616012617⟩. ⟨hal-01509941⟩
  • Emmanuel Denimal, Ambroise Marin, Ludovic Journaux, Stéphane Guyot, Paul Molin. Reliable Detection and Smart Deletion of Malassez Counting Chamber Grid in Microscopic White Light Images for Microbiological Applications. Microscopy and Microanalysis, Cambridge University Press (CUP), 2015, pp.1-7. ⟨10.1017/S1431927615000665⟩. ⟨hal-01164294⟩
  • Ambroise Marin, Emmanuel Denimal, Stéphane Guyot, Ludovic Journaux, Paul Molin. A Robust Generic Method for Grid Detection in White Light Microscopy Malassez Blade Images in the Context of Cell Counting. Microscopy and Microanalysis, Cambridge University Press (CUP), 2015, 21 (01), pp.239-248. ⟨10.1017/S1431927614013671⟩. ⟨hal-01114543⟩

Conference papers1 document

  • Christelle Gée, Emmanuel Denimal, N. Boulard, Annabelle Larmure. Estimation de l’indice foliaire et de la biomasse du blé et des adventices par imagerie visible et machine learning : vers un nouvel indicateur non destructif de la compétition culture-adventices ?. 24e Conférence du COLUMA : Journées internationales sur la lutte contre les mauvaises herbes, Dec 2019, Orléans, France. ⟨hal-02430097⟩

Book sections1 document

  • Christelle Gée, Victor Mignon, Laurence Dujourdy, Emmanuel Denimal. Chapter 26. High throughput field phenotyping (HTFP) of wheat and weed cover in field experiments using RGB images: assessment of crop-weed competition with a simple ecophysiological model. Precision agriculture ’21, John V. Stafford, pp.225 - 232, 2021, 978-90-8686-363-1. ⟨10.3920/978-90-8686-916-9_26⟩. ⟨hal-03275337⟩

Theses1 document

  • Emmanuel Denimal. Détection de formes compactes en imagerie : développement de méthodes cumulatives basées sur l'étude des gradients : Applications à l'agroalimentaire. Vision par ordinateur et reconnaissance de formes [cs.CV]. Université Bourgogne Franche-Comté, 2018. Français. ⟨NNT : 2018UBFCK006⟩. ⟨tel-01781345⟩