Joshua Chopin
Joshua Chopin
Research Associate, University of South Australia
Verified email at unisa.edu.au
Title
Cited by
Cited by
Year
Detection and analysis of wheat spikes using convolutional neural networks
MM Hasan, JP Chopin, H Laga, SJ Miklavcic
Plant Methods 14 (1), 100, 2018
482018
Rootanalyzer: a cross-section image analysis tool for automated characterization of root cells and tissues
J Chopin, H Laga, CY Huang, S Heuer, SJ Miklavcic
PloS one 10 (9), e0137655, 2015
252015
Quantitative estimation of wheat phenotyping traits using ground and aerial imagery
Z Khan, J Chopin, J Cai, VR Eichi, S Haefele, SJ Miklavcic
Remote Sensing 10 (6), 950, 2018
202018
Simple protoplast isolation system for gene expression and protein interaction studies in pineapple (Ananas comosus L.)
S Priyadarshani, B Hu, W Li, H Ali, H Jia, L Zhao, SP Ojolo, SM Azam, ...
Plant methods 14 (1), 95, 2018
152018
Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images
J Cai, P Kumar, J Chopin, SJ Miklavcic
PloS one 13 (5), e0196671, 2018
122018
A hybrid approach for improving image segmentation: application to phenotyping of wheat leaves
J Chopin, H Laga, SJ Miklavcic
PloS one 11 (12), e0168496, 2016
102016
Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination
J Chopin, P Kumar, SJ Miklavcic
Plant methods 14 (1), 1-15, 2018
92018
A new method for accurate, high-throughput volume estimation from three 2D projective images
J Chopin, H Laga, SJ Miklavcic
International Journal of Food Properties 20 (10), 2344-2357, 2017
52017
The influence of object shape on the convergence of active contour models for image segmentation
J Chopin, H Laga, SJ Miklavcic
The Computer Journal 59 (5), 603-615, 2016
52016
Selection of parameters in active contours for the phenotypic analysis of plants
JP Chopin, SJ Miklavcic, H Laga
Proc. 20th Int. Congr. Modelling Simulation, 510-516, 2013
32013
Correction to: Detection and analysis of wheat spikes using Convolutional Neural Networks
MM Hasan, JP Chopin, H Laga, SJ Miklavcic
Plant methods 15 (1), 27, 2019
2019
Detection and analysis of wheat spikes using Convolutional Neural Networks (vol 14, 100, 2018)
MM Hasan, JP Chopin, H Laga, SJ Miklavcic
PLANT METHODS 15, 2019
2019
New methods and algorithms for image-based plant phenotyping
J Chopin
The University of South Australia, 2016
2016
Selection of parameters in active contour models for automated plant phenotypic analysis
J Chopin, SJ Miklavcic, H Laga
2013
Technical Program Committee and Reviewers
A Hadid, AK Seghouane, A Liew, A Woodley, A Qadar, A Busch, A Ulhaq, ...
A Recipe for Accurate, High-throughput Volume Estimation from Three 2D Projective Images
J Chopin
Academic Press, 0
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Articles 1–16