Rosette plant segmentation with leaf count using orthogonal transform and deep convolutional neural network

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting

(2018) Mario Valerio Giuffrida et al.   PLANT JOURNAL

Plant high-throughput phenotyping using photogrammetry and imaging techniques to measure leaf length and rosette area

(2016) Nan An et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Finely-grained annotated datasets for image-based plant phenotyping

(2016) Massimo Minervini et al.   PATTERN RECOGNITION LETTERS

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

(2015) Massimo Minervini et al.   IEEE SIGNAL PROCESSING MAGAZINE

Tree Leaves Extraction in Natural Images: Comparative Study of Preprocessing Tools and Segmentation Methods

(2015) Manuel Grand-Brochier et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Growth Signatures of Rosette Plants from Time-Lapse Video

(2015) Babette Dellen et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Leaf segmentation in plant phenotyping: a collation study

(2015) Hanno Scharr et al.   MACHINE VISION AND APPLICATIONS

Walsh–Hadamard Transform Kernel-Based Feature Vector for Shot Boundary Detection

(2014) Lakshmi Priya G. G. et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Image-based plant phenotyping with incremental learning and active contours

(2013) Massimo Minervini et al.   Ecological Informatics

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Rosette Tracker: An Open Source Image Analysis Tool for Automatic Quantification of Genotype Effects

(2012) J. De Vylder et al.   PLANT PHYSIOLOGY

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

Contour Detection and Hierarchical Image Segmentation

(2010) P Arbeláez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Interactive image segmentation by maximal similarity based region merging

(2009) Jifeng Ning et al.   PATTERN RECOGNITION

Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses

(2008) Bo Wu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION