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A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects (2009)
Presentation / Conference Contribution
Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2009, December). A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. Presented at Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2009, Marrakesh

We define a method for incorporating strong prior shape information into a recently extended Markov point process model for the extraction of arbitrarily-shaped objects from images. To estimate the optimal configuration of objects, the process is sam... Read More about A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects.

A Markov random field model for extracting near-circular shapes (2009)
Presentation / Conference Contribution
Blaskovics, T., Kato, Z., & Jermyn, I. (2009, November). A Markov random field model for extracting near-circular shapes. Presented at 16th IEEE International Conference on Image Processing (ICIP) 2009, Cairo

We propose a binary Markov random field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We construct the model by discretizing the `gas of circles' phase field mod... Read More about A Markov random field model for extracting near-circular shapes.

Looking for shapes in two-dimensional, cluttered point clouds (2009)
Journal Article
Srivastava, A., & Jermyn, I. (2009). Looking for shapes in two-dimensional, cluttered point clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(9), 1616-1629. https://doi.org/10.1109/tpami.2008.223

We study the problem of identifying shape classes in point clouds. These clouds contain sampled points along contours and are corrupted by clutter and observation noise. Taking an analysis-by-synthesis approach, we simulate high-probability configura... Read More about Looking for shapes in two-dimensional, cluttered point clouds.

A phase field higher-order active contour model of directed networks (2009)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2009, September). A phase field higher-order active contour model of directed networks. Presented at 2009 IEEE 12th International Conference on Computer Vision Workshops (Non-Rigid Shape Analysis and Deformable Image Alignment), at ICCV, Kyoto

The segmentation of directed networks is an important problem in many domains, e.g. medical imaging (vascular networks) and remote sensing (river networks). Directed networks carry a unidirectional flow in each branch, which leads to characteristic g... Read More about A phase field higher-order active contour model of directed networks.

Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images (2009)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2009, August). Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images. Presented at 17th European Signal Processing Conference 2009, Glasgow, Scotland

The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task. We incorporate such knowledge via phase fields and higher-order activ... Read More about Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images.

A higher-order active contour model of a `gas of circles' and its application to tree crown extraction (2009)
Journal Article
Horváth, P., Jermyn, I., Kato, Z., & Zerubia, J. (2009). A higher-order active contour model of a `gas of circles' and its application to tree crown extraction. Pattern Recognition, 42(5), 699-709. https://doi.org/10.1016/j.patcog.2008.09.008

We present a model of a ‘gas of circles’: regions in the image domain composed of a unknown number of circles of approximately the same radius. The model has applications to medical, biological, nanotechnological, and remote sensing imaging. The mode... Read More about A higher-order active contour model of a `gas of circles' and its application to tree crown extraction.

Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks (2009)
Presentation / Conference Contribution
Sigelle, M., Jermyn, I., Perreau, S., & Jayasuriya, A. (2009, December). Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks. Presented at 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009., Seoul

We describe basic properties of Markov chains on finite state spaces and their application to Green functions, partial differential equations, and their (approximate) solution using random walks on a graph. Attention is paid to the influence of bound... Read More about Lattice Green functions and diffusion for modelling traffic routing in ad hoc networks.

Bayesian classification of shapes hidden in point cloud data (2009)
Presentation / Conference Contribution
Srivastava, A., & Jermyn, I. (2009, January). Bayesian classification of shapes hidden in point cloud data. Presented at IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009 (DSP/SPE 2009 ), Marco Island, USA

An interesting challenge in image processing is to classify shapes of polygons formed by selecting and ordering points in a 2D cluttered point cloud. This kind of data can result, for example, from a simple preprocessing of images containing objects... Read More about Bayesian classification of shapes hidden in point cloud data.