| A scheme for coherence-enhancing diffusion filtering with optimized rotation invariance J Weickert, H Scharr Journal of Visual Communication and Image Representation 13 (1-2), 103-118, 2002 | 299 | 2002 |
| Simultaneous phenotyping of leaf growth and chlorophyll fluorescence via GROWSCREEN FLUORO allows detection of stress tolerance in Arabidopsis thaliana and other rosette plants M Jansen, F Gilmer, B Biskup, KA Nagel, U Rascher, A Fischbach, ... Functional Plant Biology 36 (11), 902-914, 2009 | 262 | 2009 |
| GROWSCREEN-Rhizo is a novel phenotyping robot enabling simultaneous measurements of root and shoot growth for plants grown in soil-filled rhizotrons KA Nagel, A Putz, F Gilmer, K Heinz, A Fischbach, J Pfeifer, M Faget, ... Functional Plant Biology 39 (11), 891-904, 2012 | 236 | 2012 |
| Principles of filter design B Jähne, H Scharr, S Körkel Handbook of computer vision and applications 2, 125-151, 1999 | 209 | 1999 |
| Optimale Operatoren in der digitalen Bildverarbeitung H Scharr Universitätsbibliothek, 2000 | 192* | 2000 |
| A stereo imaging system for measuring structural parameters of plant canopies B Biskup, H Scharr, U Schurr, UWE Rascher Plant, cell & environment 30 (10), 1299-1308, 2007 | 182 | 2007 |
| Temperature responses of roots: impact on growth, root system architecture and implications for phenotyping KA Nagel, B Kastenholz, S Jahnke, D Van Dusschoten, T Aach, ... Functional Plant Biology 36 (11), 947-959, 2009 | 172 | 2009 |
| Dynamics of seedling growth acclimation towards altered light conditions can be quantified via GROWSCREEN: a setup and procedure designed for rapid optical phenotyping of … A Walter, H Scharr, F Gilmer, R Zierer, KA Nagel, M Ernst, A Wiese, ... New Phytologist 174 (2), 447-455, 2007 | 172 | 2007 |
| Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine vision and applications 27 (4), 585-606, 2016 | 159 | 2016 |
| Image analysis: the new bottleneck in plant phenotyping [applications corner] M Minervini, H Scharr, SA Tsaftaris IEEE signal processing magazine 32 (4), 126-131, 2015 | 139 | 2015 |
| Finely-grained annotated datasets for image-based plant phenotyping M Minervini, A Fischbach, H Scharr, SA Tsaftaris Pattern recognition letters 81, 80-89, 2016 | 134 | 2016 |
| Channel smoothing: Efficient robust smoothing of low-level signal features M Felsberg, PE Forssén, H Scharr IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (2), 209-222, 2005 | 105 | 2005 |
| Optimal filters for extended optical flow H Scharr Complex Motion, 14-29, 2007 | 103 | 2007 |
| Recovery dynamics of growth, photosynthesis and carbohydrate accumulation after de-submergence: a comparison between two wetland plants showing escape and quiescence strategies FL Luo, KA Nagel, H Scharr, B Zeng, U Schurr, S Matsubara Annals of Botany 107 (1), 49-63, 2011 | 102 | 2011 |
| QTL analysis of early stage heterosis for biomass in Arabidopsis RC Meyer, B Kusterer, J Lisec, M Steinfath, M Becher, H Scharr, ... Theoretical and Applied Genetics 120 (2), 227-237, 2010 | 99 | 2010 |
| The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool M Müller-Linow, F Pinto-Espinosa, H Scharr, U Rascher Plant methods 11 (1), 11, 2015 | 68 | 2015 |
| Study of dynamical processes with tensor-based spatiotemporal image processing techniques B Jähne, H Haussecker, H Scharr, H Spies, D Schmundt, U Schurr European Conference on Computer Vision, 322-336, 1998 | 65 | 1998 |
| Spatio‐temporal quantification of differential growth processes in root growth zones based on a novel combination of image sequence processing and refined concepts describing … A Chavarría‐Krauser, KA Nagel, K Palme, U Schurr, A Walter, H Scharr New Phytologist 177 (3), 811-821, 2008 | 64 | 2008 |
| Image statistics and anisotropic diffusion H Scharr, MJ Black, HW Haussecker null, 840, 2003 | 64 | 2003 |
| Machine Learning for Plant Phenotyping Needs Image Processing SA Tsaftaris, M Minervini, H Scharr Trends in Plant Science 1481, 2016 | 63 | 2016 |
Ulrich SchurrForschungszentrum JülichVerified email at fz-juelich.de
