Mark G. Eramian

According to our database, Mark G. Eramian authored at least 34 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Plant Root Occlusion Inpainting with Generative Adversarial Network.

Hao Song, Karim Panjvani, Zhigang Liu, Huzaifa Amar, Leon Kochian, Shengjian Ye, Xuan Yang, J. Allan Feurtado, Krunal Chavda, Karina Angela Chimbo Huatatoca, Mark G. Eramian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020

Benchmarking Human Performance in Semi-Automated Image Segmentation.

Mark G. Eramian, Christopher Power, Stephen Rau, Pulkit Khandelwal

Interact. Comput., 2020

A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize.

Nazifa Azam Khan, Oliver A. S. Lyon, Mark G. Eramian, Ian McQuillan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera.

Imran Ahmed, Mark G. Eramian, Ilya Ovsyannikov, William van der Kamp, Karsten Nielsen, Hema Sudhakar Duddu, Arafia Rumali, Steve Shirtliffe, Kirstin Bett

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features.

Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin, Ian Stavness, Mark G. Eramian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping.

Nico Higgs, Blanche Leyeza, Jordan R. Ubbens, Josh Kocur, William van der Kamp, Theron Cory, Christina Eynck, Sally Vail, Mark G. Eramian, Ian Stavness

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

From Helmut Jürgensen's Former Students: The Game of Informatics Research.

Mark Daley, Mark G. Eramian, Christopher Power, Ian McQuillan

J. Autom. Lang. Comb., 2018

Robust and User Friendly 3D Re-Construction of Neutron Tomographic Images.

Hao Song, Mark G. Eramian, Emil Hallin, Blanche Leyeza, Paul G. Arnison, Ronald Rogge

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Classification of Crop Lodging with Gray Level Co-occurrence Matrix.

Sajith Rajapaksa, Mark G. Eramian, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Data-Driven Multispectral Image Registration.

Rahat Yasir, Mark G. Eramian, Ian Stavness, Steve Shirtliffe, Hema Sudhakar Duddu

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2017

Image-based search and retrieval for biface artefacts using features capturing archaeologically significant characteristics.

Mark G. Eramian, Ekta Walia, Christopher Power, Paul A. Cairns, Andrew Lewis

Mach. Vis. Appl., 2017

Improving Archaeologists' Online Archive Experiences Through User-Centred Design.

Christopher Power, Andrew Lewis, Helen Petrie, Katie Green, Julian Richards, Mark G. Eramian, Brittany Chan, Ekta Walia, Isaac Sijaranamual, Maarten de Rijke

ACM Journal on Computing and Cultural Heritage, 2017

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network.

Jianning Chi, Ekta Walia, Paul S. Babyn, Jimmy Wang, Gary Groot, Mark G. Eramian

J. Digit. Imaging, 2017

Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation.

Jianning Chi, Mark G. Eramian

Comput. Vis. Image Underst., 2017

2016

LBP-Based Segmentation of Defocus Blur.

Xin Yi, Mark G. Eramian

IEEE Trans. Image Process., 2016

Wavelet-based texture-characteristic morphological component analysis for colour image enhancement.

Jianning Chi, Mark G. Eramian

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Enhancement of Textural Differences Based on Morphological Component Analysis.

Jianning Chi, Mark G. Eramian

IEEE Trans. Image Process., 2015

2014

Automated classification of four types of developmental odontogenic cysts.

A. Frydenlund, Mark G. Eramian, T. Daley

Comput. Medical Imaging Graph., 2014

Identification of Morphologically Similar Seeds Using Multi-kernel Learning.

Xin Yi, Mark G. Eramian, Ruojing Wang, Eric Neufeld

Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013

Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns.

Meng Dong, Mark G. Eramian, Simone A. Ludwig, Roger A. Pierson

Medical Biol. Eng. Comput., 2013

Evaluation of Interactive Segmentation Algorithms Using Densely Sampled Correct Interactions.

S. M. Rafizul Haque, Mark G. Eramian, Kevin A. Schneider

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Worst-Case Local Boundary Precision in Global Measures of Segmentation Reproducibility.

Mark G. Eramian

Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

2010

Automated detection of grayscale bar and distance scale in ultrasound images.

Waqas Ahmed, Mark G. Eramian

Proceedings of the Medical Imaging 2010: Image Processing, 2010

2009

Feature-rich distance-based terrain synthesis.

Brennan Rusnell, David Mould, Mark G. Eramian

Vis. Comput., 2009

2008

The Bag Automaton: A Model of Nondeterministic Storage.

Mark Daley, Mark G. Eramian, Ian McQuillan

J. Autom. Lang. Comb., 2008

2007

Classification of Bovine Reproductive Cycle Phase using Ultrasound-Detected Features.

Idalia Maldonado-Castillo, Mark G. Eramian, Roger A. Pierson, Jaswant Singh, Gregg P. Adams

Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images.

Maryruth J. Lawrence, Mark G. Eramian, Roger A. Pierson, Eric Neufeld

Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007

2006

Evaluation of Texture Features for Analysis of Ovarian Follicular Development.

Na Bian, Mark G. Eramian, Roger A. Pierson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005

Histogram Equalization using Neighborhood Metrics.

Mark G. Eramian, David Mould

Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

2004

Efficient Simulation of Nondeterministic Weighted Finite Automata.

Mark G. Eramian

J. Autom. Lang. Comb., 2004

Does Hausdorff Dimension Measure Texture Complexity?.

Mark G. Eramian, Matthew Drotar

Proceedings of the Implementation and Application of Automata, 2004

2003

Bag Automata and Stochastic Retrieval of Biomolecules in Solution.

Mark Daley, Mark G. Eramian, Ian McQuillan

Proceedings of the Implementation and Application of Automata, 2003

Talking Tactile Diagrams.

Mark G. Eramian, Helmut Jürgensen, Haibo Li, Christopher Power

Proceedings of the Human-Computer Interaction: Universal Access in HCI: Inclusive Design in the Information Society, 2003

1999

Computing Entropy Maps of Finite-Automaton-Encoded Binary Images.

Mark G. Eramian

Proceedings of the Automata Implementation, 1999