Image Segmentation/Classification

Extracting information from a digital image often depends on first identifying desired objects or breaking down the image into homogenous regions (a process called 'segmentation') and then assigning these objects to particular classes (a process called 'classification'). This is a fundamental part of computer vision, combining image processing and pattern recognition techniques. Homogeneous may refer to the color of the object or region, but it also may use other features such as texture and shape. The methodology can be used to identify tumours in medical images, crops in satellite imagery, cells in biological tissue, or human faces in standard digital images or video. Each segmentation/classification implementation has the same fundamental approach; however, specific objects and imagery often require dedicated techniques for improved success. In the VIP lab, a dedicated example of segmentation is our advanced work in decoupled active contours. A dedicated example of classification is the automated identification of sea ice in satellite SAR images.

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Journal articles

Cho, D., A. Wong, D. A. Clausi, J. Callaghan, and J. Yates, "Markov-Chain Monte Carlo based Image Reconstruction for Streak Artifact Reduction on Contrast Enhanced Computed Tomography", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Accepted. Details

Xu, L., J. M. Shafiee, A. Wong, and D. A. Clausi, "Fully-Connected Continuous Conditional Random Field With Stochastic Cliques for Dark-spot Detection In SAR Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, February, Accepted. Details

Glaister, J., A. Wong, and D. A. Clausi, "Automatic segmentation of skin lesions from dermatological photographs using a joint probabilistic texture distinctiveness approach", IEEE Transactions on Biomedical Engineering, Accepted.Details

Wang, L., A. K. Scott, L. Xu, and D. A. Clausi, "Ice concentration estimation from dual-polarized SAR images using deep convolutional neural networks", IEEE Transactions on Geoscience and Remote Sensing , Accepted. Details

Scharfenberger, C., A. Chung, A. Wong, and D. A. Clausi, "Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images", IEEE Access, vol. 4, pp. 48-60, 2016. Details

Scharfenberger, C., A. Wong, and D. A. Clausi, "Structure-guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images", IEEE Transactions on Image Processing, vol. 24, no. 1, pp. 457-470, January, 2015. Details

Xu, L., A. Wong, F. Li, and D. A. Clausi, "Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, issue 2, 2015. Details

Li, F., L. Xu, P. Siva, A. Wong, and D. A. Clausi, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random Fields", IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, vol. 8, issue 6, February, 2015. Details

Xu, L., A. Wong, F. Li, and D. A. Clausi, "Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction", IEEE Transactions on Geosciences and Remote Sensing, vol. 54, issue 2: IEEE, 2015. Details

Lui, D., C. Scharfenberger, K. Fergani, A. Wong, and D. A. Clausi, "Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals", IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 855 - 869, February, 2014. Details

Fergani, K., D. Lui, C. Scharfenberger, A. Wong, and D. A. Clausi, "Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation", Computer Vision And Image Understanding (CVIU), vol. 125, pp. 85 – 96, March, 2014. Details

Liu, L., Y. Long, P. Fieguth, S. Lao, and G. Zhao, "BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification", IEEE Transactions on Image Processing, vol. 23, no. 7, 2014. Details

Das, A., M. Dui, C. Scharfenberger, J. Servos, A. Wong, J. S. Zelek, D. A. Clausi, and S. Waslander, "Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration", Journal of Field Robotics, vol. 31, issue 1, pp. 75 - 106, 2014. Details

Tang, H., L. Shen, Y. Qi, Y. Cehn, Y. Shu, J. Li, and D. A. Clausi, "A multi-scale latent Dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images", IEEE Transactions on Geoscience and Remote Sensing, vol. 53, issue 3, no. Part III, pp. 1680 - 1692, March, 2013. Details

Eichel, J. A., A. Wong, P. Fieguth, and D. A. Clausi, "Robust Spectral Clustering using Statistical Sub-graph Affinity Model", Public Library of Science ONE, e82722, vol. 8, no. 12, 2013. Details

Liu, L., P. Fieguth, D. A. Clausi, and G. Kuang, "Sorted Random Projections for Robust Rotation Invariant Texture Classification", Pattern Recognition, vol. 45, no. 6, pp. 2405-2418, June, 2012. Details

Scharfenberger, C., S. Chakraborty, and G. Faerber, "Robust Image Processing for an Omnidirectional Camera-based Smart Car Door", ACM Transactions on Embedded Computing Systems, vol. 11, issue 4, 2012. Details

Yu, P., K. Qin, and D. A. Clausi, "Feature extraction of dual-pol SAR imagery for sea ice image segmentation.",Canadian Journal of Remote Sensing, vol. 38, issue 3, pp. 352 - 366, 2012. Details

Yu, P., D. A. Clausi, and K. Qin, "Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty", IEEE Transactions on Geoscience and Remote Sensing, vol. 50, issue 4, pp. 1302 - 1317, 2012. Details

Liu, L., and P. Fieguth, "Texture classification from random features", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, issue 3, pp. 574 - 586, 2012. Details

Liu, L., P. Fieguth, L. Zhao, Y. Long, and G. Kuang, "Extended Local Binary Patterns for Texture Classification", Image and Vision Computing, vol. 30, no. 2, pp. 86-99, 2012. Details

Yousefi, M., M. Famouri, B. Nasihatkon, Z. Azimifar, and P. Fieguth, "A robust probabilistic Braille recognition system", International Journal of Document Analysis and Recognition, vol. 15, no. 3: Springer, pp. 253 - 266, 2012. Details

Wong, A., and X. Wang, "Monte Carlo Cluster Refinement for Noise Robust Image Segmentation", Journal of Visual Communication and Image Representation, 2012. Details

Wong, A., M. J. Shafiee, and Z. Azimifar, "Statistical Conditional Sampling for Variable-Resolution Video Compression",Public Library of Science ONE, 2012. Details

Wong, A., and J. Scharcanski, "Dynamic Fisher-Tippett Region Merging Approach to Transrectal Ultrasound Prostate Lesion Segmentation", IEEE Transactions on Information Technology in BioMedicine, 2011. Details

Mishra, A., P. Fieguth, and D. A. Clausi, "Decoupled active contour (DAC) for boundary detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 2, pp. 310-324, 2011. Details

Kachouie, N. Nezamoddin, Z. Ezziane, P. Fieguth, E. Jervis, D. Gamble, and A. Khademhosseini, "Constrained watershed method to infer morphology of mammalian cells in microscopic images", Cytometry Part A, vol. 77A, no. 12, pp. 1148–1159, 2010. Details

Mishra, A., and A. Wong, "KPAC: A kernel-based parametric active contour method for fast image segmentation",IEEE Signal Processing Letters, vol. 17, no. 3, pp. 312 - 315, 2010. Details

Qin, K., and D. A. Clausi, "Multivariate image segmentation using semantic region growing with adaptive edge penalty",IEEE Transactions on Image Processing, vol. 19, no. 8, pp. 2157 - 2170, 2010. Details

Koff, D., J. Scharcanski, L. da Silva, and A. Wong, "Interactive modeling and evaluation of tumor growth", Journal of Digital Imaging, vol. 23, pp. 755 - 768, 2010. Details
Bizheva, K., A. Mishra, A. Wong, and D. A. Clausi, "Intra-retinal layer segmentation in optical coherence tomography images", Optics Express, vol. 17, no. 26: OSA, pp. 23719–23728, 2009. Details

Yu, Q., and D. A. Clausi, "IRGS: Image segmentation using edge penalties and region growing", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 12, pp. 2126 - 2139, 2008. Details

Sinha, S. K., and P. Fieguth, "Neuro-fuzzy network for the classification of buried pipe defects", Automation in Construction, vol. 15, no. 1, pp. 73 - 83, 2006. Details

Sinha, S. K., and P. Fieguth, "Segmentation of buried concrete pipe images", Automation in Construction, vol. 15, pp. 47 - 57, 2006. Details

Sinha, S. K., and P. Fieguth, "Morphological segmentation and classification of underground pipe images", Machine Vision and Applications, vol. 17, pp. 21-31, 2006. Details

Jobanputra, R., and D. A. Clausi, "Preserving boundaries for image texture segmentation using grey level co-occurring probabilities", Pattern Recognition, vol. 39, no. 2, pp. 234 - 245, 2006. Details

Deng, H., and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, issue 12, pp. 528 - 538, 2005. Details

Schneider, M., P. Fieguth, W. C. Karl, and A. S. Willsky, "Multiscale statistical methods for the segmentation of signals and images", IEEE Transactions on Image Processing, vol. 9, no. 3, pp. 456 - 468, 2000. Details

Conference papers

Wang, L., A. Wong, D. A. Clausi, A. K. Scott, L. Xu, M. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected connected conditional random field",CVPR 2015 Earthvision Workshop, Submitted. Details

Carrington, A., P. Fieguth, and H. H. Chen, "A New Mercer Sigmoid Kernel for Clinical Data Classification", 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14), Chicago, U.S.A., IEEE, Accepted. Details

Xu, L., M. J. Shafiee, A. Wong, F. Li, L. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model", CVPR 2015 Earthvision Workshop, Accepted. Details

Shafiee, M. J., A. Chung, A. Wong, and P. Fieguth, "IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS", IEEE Conference on Image Processing, Accepted. Details

Karimi, A-H., J. M. Shafiee, C. Scharfenberger, I. B. Daya, S. Haider, N. Talukdar, D. A. Clausi, and A. Wong,"Spatio-Temporal Saliency Detection Using Abstracted Fully-Connected Graphical Models", International Conference on Image Processing, September, 2016. Details

Karimi, A-H., J. M. Shafiee, C. Scharfenberger, I B. Daya, S. Haider, N. Talukar, D. A. Clausi, and A. Wong, "Spatio-Temporal Saliency Detection Using Abstracted Fully-Connected Graphical Models", International Conference on Image Processing, September, 2016. Details

Kasiri, K., P. Fieguth, and D. A. Clausi, "Cross modality label fusion in multi-atlas segmentation", IEEE International Conference on Image Processing, 2014. Details

Siva, P., C. Scharfenberger, I. B. Daya, A. Mishra, and A. Wong, "Return Of Grid Seams: A Superpixel Algorithm Using Discontinuous Multi-Functional Energy Seam Carving", IEEE International Conference on Image Processing, September, 2015. Details

Mishra, A., C. Scharfenberger, P. Siva, F. Li, A. Wong, and D. A. Clausi, "DESIRe: Discontinuous Energy Seam Carving for Image Retargeting Via Structural and Textural Energy Functionals", IEEE International Conference on Image Processing (ICIP), September, 2015. Details

Scharfenberger, C., D. Lui, F. Khalvati, A. Wong, and M. A. Haider, "Semi-Automatic Prostate Segmentation via a Hidden Markov Model with Anatomical and Textural Priors", 23rd Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), June, 2015. Details

Kumar, D., A. Wong, and D. A. Clausi, "Lung Nodule Classification Using Deep Features in CT Images", 12th Conference on Computer and Robot Vision (CRV), Halifax, NS, Canada, IEEE Xplore, April, 2015. Details

Gawish, A., and P. Fieguth, "External forces for active contours using the undecimated wavelet transform", accepted, IEEE International Conference on Image Processing, Québec city, Québec, Canada, 2015. Details

Gawish, A., P. Fieguth, S. Marschall, and K. Bizheva, "Undecimated Hierarchical Active Contours for OCT Image Segmentation", IEEE International Conference on Image Processing ICIP, 2014. Details

Khalvati, F., A. Wong, G. Bjarnason, and M. Haider, "A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Details

Cameron, A., A. Modhafar, F. Khalvati, D. Lui, M. J. Shafiee, A. Wong, and M. Haider, "Multiparametric MRI Prostate Cancer Analysis via a Hybrid Morphological-Textural Model", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Details

Siva, P., and A. Wong, "Grid Seams: A fast superpixel algorithm for real-time applications", Conference on Computer and Robot Vision, 2014. Details

Barshan, E., and P. Fieguth, "Scalable Learning for Restricted Boltzmann Machines", IEEE Conference on Image Processing, 2014. Details

Leigh, S., Z. Wang, and D. A. Clausi, "Evaluation of MAGIC Sea Ice Classifier on 61 Dual Polarization RADARSAT-2 Scenes", IEEE Geoscience and Remote Sensing Symposium, Quebec City, Quebec, Canada, IEEE Geoscience and Remote Sensing Symposium, 2014. Details

Siva, P., and A. Wong, "URC: Unsupervised clustering of remote sensing imagery", IEEE Geosciences and Remote Sensing Symposium, 2014. Details

Kasiri, K., P. Fieguth, and D. A. Clausi, "Cross modality label fusion in multi-atlas segmentation", IEEE International Conference on Image Processing, 2014. Details

Lui, D., C. Scharfenberger, D D. E. Carvalho, J. Callaghan, and A. Wong, "Semi-automatic Fisher-Tippett Guided Active Contour for Lumbar Multifidus Muscle Segmentation", International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Details

Liu, L., P. Fieguth, G. Zhao, and M. Pietikäinen, "Extended Local Binary Pattern Fusion for Face Recognition",International Conference on Image Processing, 2014. Details

Shafiee, M. J., A. Wong, P. Siva, and P. Fieguth, "EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, IEEE , 2014. Details

halvati, F., A. Modhafar, A. Cameron, A. Wong, and M. Haider, "A Multi-Parametric Diffusion Magnetic Resonance Imaging Texture Feature Model for Prostate Cancer Analysis", MICCAI 2014 Workshop on Computational Diffusion MRI, 2014. Details

Carter, K., S. Marschall, A. Gawish, P. Fieguth, L. Sorbara, and K. Bizheva, "Accuracy evaluation of scleral lens thickness and radius of curvature using high-resolution SD- and SS-OCT", SPIE Photonics West, 2014. Details

Liu, L., B. Yang, P. Fieguth, Z. Yang, and Y. Wei, "BRINT: A Binary Rotation Invariant and Noise Tolerant Texture Descriptor", International Conference on Image Processing, Melbourne, 2013. Details

Amelard, R., A. Wong, and D. A. Clausi, "Extracting Morphological High-Level Intuitive Features (HLIF) for Enhancing Skin Lesion Classification", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, pp. 4458 - 4461, August, 2012. Details

Amelard, R., A. Wong, and D. A. Clausi, "Extracting High-Level Intuitive Features (HLIF) For Classifying Skin Lesions Using Standard Camera Images", 9th Conference on Computer and Robot Vision, Toronto, pp. 396-403, May, 2012. Details

Kumar, A., A. Wong, D. A. Clausi, and P. Fieguth, "Multi-scale tensor vector field active contour", IEEE Conference on Image Processing, 2012. Details

Jain, A., A. Wong, and P. Fieguth, "SALIENCY DETECTION VIA STATISTICAL NON-REDUNDANCY", International Conference on Image Processing, Orlando, IEEE, 2012. Details

Kumar, A., A. Wong, A. Mishra, D. A. Clausi, and P. Fieguth, "Tensor vector field based active contours", 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium, September, 2011. Details

Kumar, A., A. Wong, A. Mishra, D. A. Clausi, and P. Fieguth, "Tensor vector field based active contours", 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium, September, 2011. Details

Mishra, A., D. A. Clausi, and P. Fieguth, "From active contours to active surfaces", 24th IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, CO, USA, June, 2011. Details

Liu, L., P. Fieguth, and G. Kuang, "Generalized Local Binary Patterns for Texture Classification", British Machine Vision Conference, Dundee, 2011. Details

Liu, L., P. Fieguth, G. Kuang, and H. Zha, "Sorted Random Projections for Robust Texture Classification",International Conference on Computer Vision (ICCV), Barcelona, 2011. Details

Liu, L., P. Fieguth, and G. Kuang, "Combining Sorted Random Features for Texture Classification", International Conference on Image Processing, Brussels, 2011. Details

Eichel, J. A., K. Bizheva, D. A. Clausi, and P. Fieguth, "Automated 3D reconstruction and segmentation from optical coherence tomography", 11th European Conference on Computer Vision, Crete, Greece, pp. 44–57, Sept 5 - 11, 2010. Details

Mishra, A., A. Wong, D. A. Clausi, and P. Fieguth, "A Bayesian information flow approach to image segmentation",7th Canadian Conference on Computer and Robot Vision, Ottawa, Ontario, Canada, March, 2010. Details

Mishra, A., P. Fieguth, and D. A. Clausi, "Decoupled active surface for volumetric image segmentation", 7th Canadian Conference on Computer and Robot Vision, Ottawa, Ontario, Canada, March, 2010. Details

Mishra, A., S. Hariri, A. A. Moayed, K. Bizheva, P. Fieguth, and D. A. Clausi, "A cellular automata based semi-automatic algorithm for segmentation of choroidal blood vessels from ultrahigh resolution optical coherence images of rat retina", 23rd Canadian Conference on Electrical and Computer Engineering (CCECE), Calgary, Alberta, Canada, February, 2010. Details

Gangeh, M. J., A. H. Shabani, and M. Kamel, "Nonlinear scale-space theory in texture classification using multiple classifier systems", International Conference on Image Analysis and Recognition, June, 2010. Details

Liu, L., P. Fieguth, and G. Kuang, "Compressed sensing for robust texture classification", 10th Asian Conference on Computer Vision (ACCV'10), pp. 383–396, 2010. Details

Zaboli, S., A. Tabibiazar, and P. Fieguth, "Organ recognition using Gabor filters", 7th Canadian Conference on Computer and Robot Vision, pp. 94 -100, 2010. Details

Liu, L., and P. Fieguth, "Texture classification using compressed sensing", 7th Canadian Conference on Computer and Robot Vision, pp. 71 - 78, 2010. Details

Yang, X., and D. A. Clausi, "SAR sea ice image segmentation using an edge-preserving region-based MRF", 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, July, 2009. Details

Eichel, J. A., A. Mishra, D. A. Clausi, P. Fieguth, and K. Bizheva, "A novel algorithm for extraction of the layers of the cornea", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, February, 2009. Details

Wong, A., D. A. Clausi, and P. Fieguth, "SEC: Stochastic ensemble consensus approach to unsupervised SAR sea-ice segmentation", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, February, 2009. Details

Mishra, A., P. Fieguth, and D. A. Clausi, "A robust modular wavelet network based symbol classifier", 6th International Conference on Image Analysis and Recognition (ICIAR), Halifax, Nova Scotia, Canada, July 6 - 9, 2009. Details

Babadi, M., B. Masihatkon, Z. Azimifar, and P. Fieguth, "Probabilistic Estimation of Braille Document Parameters",ICIP, 2009. Details

Mishra, A., P. Fieguth, and D. A. Clausi, "Robust snake convergence based on dynamic programming", 15th IEEE International Conference on Image Processing, San Diego, California, USA, pp. 1092 - 1095, January, 2008. Details

Mishra, A., P. Fieguth, and D. A. Clausi, "Accurate boundary localization using dynamic programming on snakes", 4th Annual Canadian Conference on Computer and Robot Vision, Windsor, Ontario, Canada, pp. 261 - 268, February, 2008. Details

Mishra, A., A. Wong, W. Zhang, D. A. Clausi, and P. Fieguth, "Improved interactive medical image segmentation using Enhanced Intelligent Scissors (EIS)", 30th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, pp. 3083 - 3086, Aug. 20 - 24, 2008. Details

Wong, A., A. Mishra, P. Fieguth, D. A. Clausi, N. M. Dunk, and J. Callaghan, "Shape-guided active contour based segmentation and tracking of lumbar vertebrae in video fluoroscopy using complex wavelets", 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, Canada, Aug. 20 - 24, 2008. Details

Kachouie, N. Nezamoddin, P. Fieguth, and E. Jervis, "Watershed deconvolution for cell segmentation", 30th Annual Conference of the IEEE Engineering in Medicine and Biology Society, pp. 375 - 378, 2008. Details

Yang, X., and D. A. Clausi, "SAR sea ice image segmentation based on edge-preserving watersheds", 4th Annual Canadian Conference on Computer and Robot Vision, Montreal, Quebec, Canada, pp. 426 - 431, February, 2007. Details

Maillard, P., and D. A. Clausi, "Improving sea ice classification using the MAGSIC system", International Socity for Photogrammetry and Remote Sensing, Enschede, The Netherlands, January, 2006. Details

Yu, Q., and D. A. Clausi, "Filament preserving segmentation for SAR sea ice imagery using a new statistical model",18th International Conference on Pattern Recognition (ICPR), vol. 4, Hong Kong, pp. 849 - 852, Aug. 21 - 24, 2006. Details

Yu, Q., and D. A. Clausi, "Joint image segmentation and interpretation using iterative semantic region growing on SAR sea ice imagery", 18th International Conference on Pattern Recognition (ICPR), vol. 2, Hong Kong, pp. 223 - 226, Aug. 21 - 24, 2006. Details

Wesolkowski, S., and P. Fieguth, "Hierarchical region mean-based image segmentation", 3rd Canadian Conference on Computer and Robot Vision: IEEE Computer Society, pp. 30, 2006. Details

Maillard, P., and D. A. Clausi, "Pixel-based sea ice classification using the MAGSIC system", International Society for Photogrammetry and Remote Sensing, Enschede, The Netherlands, 2006. Details

Maillard, P., and D. A. Clausi, "Comparing classification metrics for labeling segmented remote sensing images", 2nd Annual Canadian Conference on Computer and Robot Vision, Victoria, B.C., Canada, pp. 421 - 428, September, 2005. Details

Yu, Q., and D. A. Clausi, "Combining local and global features for image segmentation using iterative classification and region merging", 2nd Canadian Conference on Computer and Robot Vision, Victoria, B.C., Canada, pp. 579 - 586, September, 2005. Details

Deng, H., and D. A. Clausi, "Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model", Pattern Recognition in Remote Sensing, vol. 43, no. 3, Kingston on Thames, Kingston University, UK, pp. 528 - 538, Aug. 27, 2005. Details

Ramunas, J., N. Nezamoddin Kachouie, P. Fieguth, and E. Jervis, "A narrow-band level-set method with dynamic velocity for neural stem cell cluster segmentation", International Conference on Image Analysis and Recognition, Toronto, 2005. Details

Clausi, D. A., and B. Yue, "Texture segmentation comparison using grey level co-occurrence probabilities and Markov random fields", 17th International Conference on Pattern Recognition (ICPR), vol. 1, Cambridge, United Kingdom, pp. 584 - 587, Aug. 23 - 26, 2004. Details

Clausi, D. A., and H. Deng, "Feature fusion for image texture segmentation", 17th International Conference on Pattern Recognition (ICPR), vol. 1, pp. 580 - 583, 2004. Details

Sabri, M., and P. Fieguth, "A new Gabor filter based kernel for texture classification with SVM", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. Details

Fieguth, P., "Hierarchical MCMC sampling", 2004 International Conference on Image Analysis and Recognition, 2004. Details

Wesolkowski, S., and P. Fieguth, "Hierarchical regions for image segmentation", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. Details

Alajlan, N., and P. Fieguth, "Robust shape retrieval using maximum likelihood theory", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. Details

Fieguth, P., "Phase-based methods for Fourier shape matching", 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004. Details

Clausi, D. A., and H. Deng, "Operational segmentation and classification of SAR sea ice imagery", 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, An Honorary Workshop for Prof. David A. Landgrebe, pp. 268 - 275, 2003. Details

Wesolkowski, S., and P. Fieguth, "A probabilistic framework for image segmentation", IEEE International Conference on Image Processing, Spain, 2003. Details

amieson, M., P. Fieguth, and L. J. Lee, "Parametric contour estimation by simulated annealing", IEEE International Conference on Image Processing, vol. 3, Spain, 2003. Details

Booth, S., and D. A. Clausi, "Image segmentation using MRI vertebral cross-sections", 14th Canadian Conference on Electrical and Computer Engineering , vol. 2, pp. 1303 - 1307, 2001. Details

Wesolkowski, S., and P. Fieguth, "Color image segmentation using a region growing method", 2001 Advanced Imaging Conference, Rochester, NY, 2001. Details

Yue, B., and D. A. Clausi, "Sea ice segmentation using Markov random fields", IEEE Geoscience and Remote Sensing Symposium, vol. 4, pp. 1877 -1879, 2001. Details

Fieguth, P., and S. Wesolkowski, "Highlight and shading invariant color image segmentation using simulated annealing", Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2001), France, pp. 314 - 327, 2001. Details

Fieguth, P., and R. Wan, "Fast retrieval methods for images with significant variations", International Conference on Image Processing, 2000. Details

Clausi, D. A., "Towards a Novel Approach for Texture Segmentation of SAR Sea Ice Imagery", 26th International Symposium on Remote Sensing of Environment and 18th Annual Symposium of the Canadian Remote Sensing Society, Vancouver, BC, Canada, pp. 257-261, 1996. Details

Schneider, M., P. Fieguth, W. C. Karl, and A. S. Willsky, "Multiscale Methods for the Segmentation of Images",ICASSP '96, vol. 4, pp. 2247 - 2250, 1996. Details

Book chapters

Amelard, R., J. Glaister, A. Wong, and D. A. Clausi, "Melanoma decision support using lighting-corrected intuitive feature models", Computer Vision Techniques for the Diagnosis of Skin Cancer, pp. 193 - 219, October, 2013. Details

Theses

Xu, L., "Mixture of Latent Variable Models for Remotely Sensed Image Processing", Department of Geography and Environmental Management, 2014. Details

Leigh, S., "Automated Ice-Water Classification using Dual Polarization SAR Imagery", Department of Systems Design Engineering, Waterloo, ON, Canada, University of Waterloo, pp. 110, 2013. Details

Amelard, R., "High-Level Intuitive Features (HLIFs) for Melanoma Detection", Department of Systems Design Engineering, pp. 85, 2013. Details

Glaister, J, "Automatic segmentation of skin lesions from dermatological photographs", Department of Systems Engineering, Waterloo, ON, Canada, University of Waterloo, 2013. Details

Bandekar, N.., "Illumination and Noise-Based Scene Classification - Application to SAR Sea Ice Imagery", Department of Systems Engineering, Waterloo, ON, Canada, University of Waterloo, pp. 77, 2012. Details

Yu, P., "Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery", Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2009. Details

Jobanputra, R., "Preserving Texture Boundaries for SAR Sea Ice Segmentation", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, 2004. Details

Sinha, S. K., "Automated Underground Pipe Inspection Using a Unified Image Processing and Artificial Intelligence Methodology", Department of Systems Engineering: University of Waterloo, 2000. Details

Clausi, D. A., "Texture Segmentation of SAR Sea Ice Imagery", Department of Systems Design Engineering, Waterloo, Ontario, Canada, University of Waterloo, pp. 176, 1996. Details

Image Segmentation/Classification

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