Image Processing and Computer Vision are very broad concepts, applicable to any number of contexts involving data acquisition from a camera of some sort. Most images studied in the context of denoising or compression are every-day, human-world images, photos of people, buildings, scenery etc. The human world has a complex structure, full of straight lines and edges, and is difficult to model, therefore many of the methods developed for such images are heuristic in nature.
In contrast, scientific imaging refers to working on two- or three-dimensional imagery taken for a scientific purpose, in most cases acquired either through a microscope or remotely-sensed images taken at a distance. In contrast to the complex structure of the human (meter) scale, at both the micron scale (crystals, grains of sand, groups of cells) and at the kilometer scale (forests, deserts) the natural world has a much more random, textured, or irregular structure which can often well be modeled mathematically as a random field.
The methods developed for scientific imaging tend to be less heuristic, and more model based, than those in photographic image processing. Markov random fields, Gibbs random fields, hidden Markov models, and wavelet models are some of the approaches which we use here.
Related people
Directors
Alexander Wong, David A. Clausi, Paul Fieguth
Students
Farnoud Kazemzadeh, Shahid Haider, Ruben Yousuf, Jason Deglint, Hicham Sekkati
Alumni
Azadeh Mohebi, Simon Alexander, Sunil Sinha, Wesley Campaigne, Ying Liu, Justin Eichel, Zohreh Azimifar
Related demos
Porous Media
Multiplexed Optical High-coherence Interferometry
Related publications
Journal articles
Haider, S., A. Cameron, P. Siva, D. Lui, M. J. Shafiee, A. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Nature Scientific Reports, Submitted. Details
Boroomand, A., A. Wong, E. Li, D. Cho, B. Ni, and K. Bizheva, "Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images", Biomedical Optics Express, Accepted.Details
Li, F., L. Xu, A. Wong, and D. A. Clausi, "Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning
", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 12, 2015. Details
Kazemzadeh, F., S. Haider, C. Scharfenberger, A. Wong, and D. A. Clausi, "Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging from the Visible to the Near-Infrared", IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 63, issue 7: IEEE Instrumentation and Measurement Society, pp. 1871-1873, July 2014. Details
Wong, A., J. Glaister, A. Cameron, and M. A. Haider, "Correlated Diffusion Imaging", BMC Medical Imaging, 2013.Details
Campaigne, W., and P. Fieguth, "Frozen State Hierarchical Annealing", IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1486-1497, 2013. Details
Moayed, A. A., S. Hariri, C. Liu, A. Wong, V. Choh, and K. Bizheva, "Stimulus Specific Pupil Dynamics Measured In-vivo in Birds (Gallus Gallus Domesticus) with Ultrahigh Resolution Optical Coherence Tomography", Investigative Ophthalmology and Visual Science, 11, vol. 53, issue 6869, 2012. Details
Mohebi, A., P. Fieguth, and M. A. Ioannidis, "Statistical fusion of two-scale images of porous media", Advances in Water Resources, vol. 32, no. 11, pp. 1567 - 1579, 2009. Details
Ioannidis, M. A., S. K. Alexander, P. Fieguth, and E. Vrscay, "Hierarchical annealing for synthesis of binary images",Mathematical Geosciences, vol. 41: Springer Berlin / Heidelberg, pp. 357-378, 2009. Details
Sinha, S. K., and P. Fieguth, "Automated detection of crack defects in buried concrete pipe images", Automation in Construction, vol. 15, no. 1, pp. 58 - 72, 2006. 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
Sinha, S. K., P. Fieguth, and M. A. Polak, "Computer vision techniques for automatic structural assessment of underground pipes", Computer-Aided Civil and Infrastructure Engineering, vol. 18, no. 2: Blackwell Publishing Inc, pp. 95–112, 2003. Details
Fieguth, P., and D. H. Staelin, "High-accuracy profiler that uses depth from focus", Applied Optics, vol. 33, no. 4: OSA, pp. 686 - 689, 1994. Details
Kazemzadeh, F., A. Wong, B. B. Behr, and A. R. Hajian, "Depth Profilometry via Multiplexed Optical High-Coherence Interferometry", PLoS ONE: PLoS. Details
Conference papers
Deglint, J., F. Kazemzadeh, A. Wong, and D. A. Clausi, "Inference of dense spectral reflectance images from sparse reflectance measurement using non-linear regression modeling", SPIE Optics and Photonics, Applications of Digital Image Processing XXXVIII, August, 2015. Details
Haider, S., D. Cho, R. Amelard, A. Wong, and D. A. Clausi, "Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs", 36th Annual International IEEE Engineering in Medicine and Biology Society Conference, Sheraton Chicago Hotel and Towers Chicago, IL, USA, pp. 6455-6458, September, 2014. Details
Kazemzadeh, F., S. Haider, A. Wong, C. Scharfenberger, and D. A. Clausi, "Concurrent Multiview Discrete Spectral Imaging Device from the VIS to the NIR", SPIE: Optics + Photonics, Novel Optical Systems Design and Optimization XVII , vol. 9193, San Diego, USA, SPIE Proceedings, 2014. Details
Kazemzadeh, F., M. J. Shafiee, A. Wong, and D. A. Clausi, "Reconstruction of Compressive Multispectral Sensing Data Using a Multi-layered Conditional Random Field Approach", SPIE: Optics + Photonics, vol. 9217, San diego, USA, SPIE Proceedings, 2014. Details
Schwartz, S., A. Wong, and D. A. Clausi, "Saliency-guided compressive fluorescence microscopy", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology, , San Diego, USA., pp. 4365 - 4368 , 2012. Details
Mohebi, A., Y. Liu, and P. Fieguth, "Hierarchical sampling with constraints", 6th International Conference on Image Analysis and Recognition, pp. 23 - 32, 2009. Details
Liu, Y., and P. Fieguth, "Image resolution enhancement with hierarchical hidden fields", 6th International Conference on Image Analysis and Recognition, pp. 73 - 82, 2009. Details
Liu, Y., and P. Fieguth, "Parallel hidden hierarchical fields for multi-scale reconstruction", 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 70–83, 2009. Details
Mohebi, A., and P. Fieguth, "Modeling and reconstruction of two-scale porous media using MRI measurement", Fourth Biot Conference on Poromechanics, New York, 2009. Details
LLiu, Y., A. Mohebi, and P. Fieguth, "Modeling of multiscale porous media using multiple Markov random fields", Fourth Biot Conference on Poromechanics, New York, 2009. Details
Mohebi, A., and P. Fieguth, "Statistical fusion and sampling of scientific images", 15th IEEE International Conference on Image Processing, pp. 1312 - 1315, 2008. Details
Mohebi, A., and P. Fieguth, "Posterior sampling of scientific images", 2006 International Conference on Image Analysis and Recognition, Portugal, Springer, 2006. Details
Alexander, S. K., P. Fieguth, and E. Vrscay, "Discrete-state modeling of porous media over multiple scales", SIAM Conference on Mathematical and Computational Issues in the Geosciences, Avignon, 2005. Details
Alexander, S. K., P. Fieguth, and E. Vrscay, "Hierarchical annealing of porous media", SIAM Conference on Mathematical and Computational Issues in the Geosciences, Avignon, 2005. Details
Fieguth, P., and S. K. Alexander, "Parameterized hierarchical annealing for scientific models", 2004 International Conference on Image Analysis and Recognition, Portugal, 2004. Details
Alexander, S. K., P. Fieguth, and E. Vrscay, "Hierarchical annealing for scientific models", 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, 2004. Details
Sinha, S. K., and P. Fieguth, "Assessment, rehabilitation and maintenance of buried pipes", International Pipeline Conference, San Diego, California, pp. 53 - 58, 2002. Details
Sinha, S. K., and P. Fieguth, "Development of an automated pipeline inspection system", International Conference on Underground Infrastructure Research, Waterloo, 2001. Details
Polak, M. A., S. K. Sinha, and P. Fieguth, "Development of an intelligent system for municipal infrastructure management", Canadian Society of Civil Engineering Conference, London, 2000. Details
Sinha, S. K., and P. Fieguth, "Detection of minor cracks on noisy buried sewer pipe images", VI Construction Conference, Orlando, 2000. Details
Karray, F., S. K. Sinha, and P. Fieguth, "Automated segmentation of underground pipe scanned images", World Automation Congress 2000, Hawaii, pp. 161 - 171, 2000. Details
McKim, R., S. K. Sinha, and P. Fieguth, "Novel system for automatic underground pipe distress detection and classification", Canadian Society of Civil Engineering Conference, Saskatchewan, pp. 279 - 288, 1999. Details
Sinha, S. K., F. Karray, and P. Fieguth, "Underground pipe cracks classification using image analysis and neuro-fuzzy algorithm", IEEE Symposium on Intelligent Control, pp. 399 - 404, 1999. Details
Fieguth, P., and S. K. Sinha, "Automated analysis and detection of cracks in underground scanned pipes",International Conference on Image Processing, vol. 4, 1999. Details
McKim, R., S. K. Sinha, and P. Fieguth, "Automated underground sewage pipe condition assessment by image analysis of the state-of-the-art sewer scanner and evaluation technology surveys", No Dig '99 International Conference, Orlando, 1999. Details
Books
Fieguth, P., "Statistical Image Processing and Multidimensional Modeling", Information Science and Statistics: Springer, 2010. Details
Patents
Kazemzadeh, F., and A. Wong, A System, Method and Apparatus for Ultra-resolved Ultra-wide Field-of-view Multispectral and Hyperspectral Holographic Microscopy, , vol. 62155416, USA, April 30, 2015. Details
Kazemzadeh, F., A. Wong, and S. Haider, Imaging System and Method for Concurrent Multiview Multispectral Polarimetric Light-field High Dynamic Range Imaging, , USA, 2014. Details
Hajian, A. R., F. Kazemzadeh, B. B. Behr, T. M. Haylock, and L. M. Chifman, A Device and Methods for Generating a Fringe Pattern Based on the Depth of a Surface of a Substance, , USA, 2011. Details
Theses
Eichel, J. A., Statistical Model-Based Corneal Reconstruction, , Waterloo, ON, Canada, University of Waterloo, 2013. Details
Campaigne, W., "Frozen-State Hierarchical Annealing", Department of Systems Design Engineering, 2012. Details
Kazemzadeh, F., "Laser Interference Fringe Tomography - A Novel 3D Imaging Microscopy Technique
", Department of Systems Design Engineering, Waterloo, University of Waterloo, 2011. Details
Fieguth, P., "Application of Multiscale Estimation to Large Multidimensional Imaging and Remote Sensing Problems",Department of Electrical Engineering and Computer Science, Cambridge, Massachusetts, Massachusetts Institute of Technology, 1995. Details
