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Mark G. Eramian
Person information
- affiliation: University of Saskatchewan, Saskatoon, Canada
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Journal Articles
- 2020
- [j13]Mark G. Eramian, Christopher Power, Stephen Rau, Pulkit Khandelwal:
Benchmarking Human Performance in Semi-Automated Image Segmentation. Interact. Comput. 32(3): 233-245 (2020) - 2018
- [j12]Mark Daley, Mark G. Eramian, Christopher Power, Ian McQuillan
:
From Helmut Jürgensen's Former Students: The Game of Informatics Research. J. Autom. Lang. Comb. 23(1-3): 127-141 (2018) - 2017
- [j11]Jianning Chi
Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation. Comput. Vis. Image Underst. 158: 49-61 (2017) - [j10]Jianning Chi
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. J. Digit. Imaging 30(4): 477-486 (2017) - [j9]Christopher Power
Improving Archaeologists' Online Archive Experiences Through User-Centred Design. ACM Journal on Computing and Cultural Heritage 10(1): 3:1-3:20 (2017) - [j8]Mark G. Eramian, Ekta Walia, Christopher Power, Paul A. Cairns
Image-based search and retrieval for biface artefacts using features capturing archaeologically significant characteristics. Mach. Vis. Appl. 28(1-2): 201-218 (2017) - 2016
- [j7]Xin Yi
LBP-Based Segmentation of Defocus Blur. IEEE Trans. Image Process. 25(4): 1626-1638 (2016) - 2015
- [j6]Jianning Chi
Enhancement of Textural Differences Based on Morphological Component Analysis. IEEE Trans. Image Process. 24(9): 2671-2684 (2015) - 2014
- [j5]A. Frydenlund, Mark G. Eramian, T. Daley:
Automated classification of four types of developmental odontogenic cysts. Comput. Medical Imaging Graph. 38(3): 151-162 (2014) - 2013
- [j4]Meng Dong, Mark G. Eramian, Simone A. Ludwig, Roger A. Pierson
Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns. Medical Biol. Eng. Comput. 51(4): 405-416 (2013) - 2009
- [j3]Brennan Rusnell, David Mould, Mark G. Eramian:
Feature-rich distance-based terrain synthesis. Vis. Comput. 25(5-7): 573-579 (2009) - 2008
- [j2]Mark Daley, Mark G. Eramian, Ian McQuillan:
The Bag Automaton: A Model of Nondeterministic Storage. J. Autom. Lang. Comb. 13(3/4): 185-206 (2008) - 2004
- [j1]Mark G. Eramian:
Efficient Simulation of Nondeterministic Weighted Finite Automata. J. Autom. Lang. Comb. 9(2/3): 257-267 (2004)
Conference and Workshop Papers
- 2023
- [c22]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:
Plant Root Occlusion Inpainting with Generative Adversarial Network. ICCV (Workshops) 2023: 531-539 - 2020
- [c21]Nazifa Azam Khan
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize. CVPR Workshops 2020: 330-339 - 2019
- [c20]Nico Higgs, Blanche Leyeza, Jordan R. Ubbens
ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping. CVPR Workshops 2019: 2629-2638 - [c19]Sara Mardanisamani, Farhad Maleki, Sara Hosseinzadeh Kassani, Sajith Rajapaksa, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe
Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features. CVPR Workshops 2019: 2657-2664 - [c18]Imran Ahmed, Mark G. Eramian, Ilya Ovsyannikov, William van der Kamp, Karsten Nielsen, Hema Sudhakar Duddu, Arafia Rumali, Steve Shirtliffe, Kirstin Bett:
Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera. WACV 2019: 1673-1681 - 2018
- [c17]Rahat Yasir, Mark G. Eramian, Ian Stavness, Steve Shirtliffe, Hema Sudhakar Duddu:
Data-Driven Multispectral Image Registration. CRV 2018: 230-237 - [c16]Sajith Rajapaksa, Mark G. Eramian, Hema Sudhakar Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin
Classification of Crop Lodging with Gray Level Co-occurrence Matrix. WACV 2018: 251-258 - [c15]Hao Song, Mark G. Eramian, Emil Hallin, Blanche Leyeza, Paul G. Arnison, Ronald Rogge:
Robust and User Friendly 3D Re-Construction of Neutron Tomographic Images. WACV 2018: 930-938 - 2016
- [c14]Jianning Chi
Wavelet-based texture-characteristic morphological component analysis for colour image enhancement. ICIP 2016: 4097-4101 - 2014
- [c13]Xin Yi
Identification of Morphologically Similar Seeds Using Multi-kernel Learning. CRV 2014: 143-150 - 2013
- [c12]Mark G. Eramian:
Worst-Case Local Boundary Precision in Global Measures of Segmentation Reproducibility. CRV 2013: 59-66 - [c11]S. M. Rafizul Haque, Mark G. Eramian, Kevin A. Schneider
Evaluation of Interactive Segmentation Algorithms Using Densely Sampled Correct Interactions. ICIAP (1) 2013: 191-200 - 2010
- [c10]Waqas Ahmed, Mark G. Eramian:
Automated detection of grayscale bar and distance scale in ultrasound images. Image Processing 2010: 76231Z - 2007
- [c9]Maryruth J. Lawrence, Mark G. Eramian, Roger A. Pierson
Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images. CRV 2007: 105-112 - [c8]Idalia Maldonado-Castillo
Classification of Bovine Reproductive Cycle Phase using Ultrasound-Detected Features. CRV 2007: 258-265 - 2006
- [c7]Na Bian, Mark G. Eramian, Roger A. Pierson
Evaluation of Texture Features for Analysis of Ovarian Follicular Development. MICCAI (2) 2006: 93-100 - 2005
- [c6]Mark G. Eramian, David Mould:
Histogram Equalization using Neighborhood Metrics. CRV 2005: 397-404 - 2004
- [c5]Mark G. Eramian, Matthew Drotar:
Does Hausdorff Dimension Measure Texture Complexity?. CIAA 2004: 317-318 - 2003
- [c4]Mark G. Eramian, Helmut Jürgensen, Haibo Li, Christopher Power:
Talking Tactile Diagrams. HCI (4) 2003: 1377-1381 - [c3]Mark Daley, Mark G. Eramian, Ian McQuillan:
Bag Automata and Stochastic Retrieval of Biomolecules in Solution. CIAA 2003: 239-250 - 2002
- [c2]Mark G. Eramian:
Efficient Simulation of Nondeterministic Weighted Finite Automata. DCFS 2002: 110-122 - 1999
- [c1]Mark G. Eramian:
Computing Entropy Maps of Finite-Automaton-Encoded Binary Images. WIA 1999: 81-90
Informal and Other Publications
- 2020
- [i3]Nazifa Azam Khan, Oliver A. S. Lyon, Mark G. Eramian, Ian McQuillan:
A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize. CoRR abs/2005.09022 (2020) - 2019
- [i2]Mark Daley, Mark G. Eramian, Christopher Power, Ian McQuillan:
From Helmut Jürgensen's Former Students: The Game of Informatics Research. CoRR abs/1903.03405 (2019) - [i1]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:
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture Features. CoRR abs/1906.07771 (2019)
Coauthor Index
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