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A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects (2011)
Presentation / Conference Contribution
Nemeth, J., Kato, Z., & Jermyn, I. (2011, August). A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects. Presented at 13th International Conference Advanced Concepts for Intelligent Vision Systems (ACIVS 2011), Ghent

We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a gi... Read More about A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects.

Shape analysis of elastic curves in Euclidean spaces (2011)
Journal Article
Srivastava, A., Klassen, E., Joshi, S., & Jermyn, I. (2011). Shape analysis of elastic curves in Euclidean spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7), 1415-1428. https://doi.org/10.1109/tpami.2010.184

This paper introduces a square-root velocity (SRV) representation for analyzing shapes of curves in euclidean spaces under an elastic metric. In this SRV representation, the elastic metric simplifies to the IL2 metric, the reparameterization group ac... Read More about Shape analysis of elastic curves in Euclidean spaces.

A marked point process model including strong prior shape information applied to multiple object extraction from images (2011)
Journal Article
Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2011). A marked point process model including strong prior shape information applied to multiple object extraction from images. International Journal of Computer Vision and Image Processing, 1(2), 1-12. https://doi.org/10.4018/ijcvip.2011040101

Object extraction from images is one of the most important tasks in remote sensing image analysis. For accurate extraction from very high resolution (VHR) images, object geometry needs to be taken into account. A method for incorporating strong yet f... Read More about A marked point process model including strong prior shape information applied to multiple object extraction from images.

A theoretical and numerical study of a phase field higher-order active contour model of directed networks (2010)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2010, November). A theoretical and numerical study of a phase field higher-order active contour model of directed networks. Presented at 10th Asian Conference on Computer Vision, Queenstown

We address the problem of quasi-automatic extraction of directed networks, which have characteristic geometric features, from images. To include the necessary prior knowledge about these geometric features, we use a phase field higher-order active co... Read More about A theoretical and numerical study of a phase field higher-order active contour model of directed networks.

Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model (2010)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2010, September). Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model. Presented at ISPRS-Technical-Commission III Symposium on Photogrammetric Computer Vision and Image Analysis (PCV), Saint Mande

We propose a new algorithm for network segmentation from very high resolution (VHR) remote sensing images. The algorithm performs this task quasi-automatically, that is, with no human intervention except to fix some parameters. The task is made diffi... Read More about Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model.

Extended phase field higher-order active contour models for networks (2010)
Journal Article
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2010). Extended phase field higher-order active contour models for networks. International Journal of Computer Vision, 88(1), 111-128. https://doi.org/10.1007/s11263-009-0304-3

This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i.e. the region in the image corresponding to the entity is composed of branches joining together at junctions, e.g. road or vascular networks. We pres... Read More about Extended phase field higher-order active contour models for networks.

Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours (2010)
Presentation / Conference Contribution
Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2010, January). Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours. Presented at SPIE Conference on Electronic Imaging, San Jose, USA

We extend the marked point process models that have been used for object extraction from images to arbitrarily shaped objects, without greatly increasing the computational complexity of sampling and estimation. The approach can be viewed as an extens... Read More about Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours.

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.

Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images (2008)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2008, December). Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images. Presented at 19th International Conference on Pattern Recognition, Tampa, Florida

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. Higher-order active contours provide a way to include such knowledge,... Read More about Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images.

An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images (2008)
Presentation / Conference Contribution
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008, October). An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images. Presented at 10th European Conference on Computer Vision,, Marseille

This paper addresses the segmentation from an image of entities that have the form of a 'network', i.e. the region in the image corresponding to the entity is composed of branches joining together at junctions, e.g. road or vascular networks. We pres... Read More about An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images.

Indexing of mid-resolution satellite images with structural attributes (2008)
Presentation / Conference Contribution
Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2008, July). Indexing of mid-resolution satellite images with structural attributes. Presented at Proc. InternXXIst ISPRS Congress, Technical Commission IVational Society for Photogrammetry and Remote Sensing (ISPRS), Beijing

Satellite image classification has been a major research field for many years with its varied applications in the field of Geography, Geology, Archaeology, Environmental Sciences and Military purposes. Many different techniques have been proposed to... Read More about Indexing of mid-resolution satellite images with structural attributes.