Outputs (6)

An improved `gas of circles' higher-order active contour model and its application to tree crown extraction (2006)
Presentation / Conference Contribution
Horvath, P., Jermyn, I., Kato, Z., & Zerubia, J. (2006, December). An improved `gas of circles' higher-order active contour model and its application to tree crown extraction. Presented at 5th Indian Conference Computer Vision, Graphics and Image Processing (ICVGIP 2006), Madurai

A central task in image processing is to find the region in the image corresponding to an entity. In a number of problems, the region takes the form of a collection of circles, e.g. tree crowns in remote sensing imagery; cells in biological and medic... Read More about An improved `gas of circles' higher-order active contour model and its application to tree crown extraction.

Computing statistics from a graph representation of road networks in satellite images for indexing and retrieval (2006)
Presentation / Conference Contribution
Bhattacharya, A., Jermyn, I., Descombes, X., & Zerubia, J. (2006, October). Computing statistics from a graph representation of road networks in satellite images for indexing and retrieval. Presented at International Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE 2006), Coimbra

Retrieval from remote sensing image archives relies on the extraction of pertinent information from the data about the entity of interest (e.g. land cover type), and on the robustness of this extraction to nuisance variables (e.g. illumination). Most... Read More about Computing statistics from a graph representation of road networks in satellite images for indexing and retrieval.

Nonlinear models for the statistics of adaptive wavelet packet coefficients of texture (2006)
Presentation / Conference Contribution
Aubray, J., Jermyn, I., & Zerubia, J. (2006, September). Nonlinear models for the statistics of adaptive wavelet packet coefficients of texture. Presented at Signal Processing Conference, 2006 14th European, Florence

Probabilistic adaptive wavelet packet models of texture provide new insight into texture structure and statistics by focusing the analysis on significant structure in frequency space. In very adapted subbands, they have revealed new bimodal statistic... Read More about Nonlinear models for the statistics of adaptive wavelet packet coefficients of texture.

Higher-order active contours (2006)
Journal Article
Rochery, M., Jermyn, I., & Zerubia, J. (2006). Higher-order active contours. International Journal of Computer Vision, 69(1), 27-42. https://doi.org/10.1007/s11263-006-6851-y

We introduce a new class of active contour models that hold great promise for region and shape modelling, and we apply a special case of these models to the extraction of road networks from satellite and aerial imagery. The new models are arbitrary p... Read More about Higher-order active contours.

A higher-order active contour model for tree detection (2006)
Presentation / Conference Contribution
Horvath, P., Jermyn, I., Kato, Z., & Zerubia, J. (2006, August). A higher-order active contour model for tree detection. Presented at 18th International Conference on Pattern Recognition (ICPR'06), Hong Kong

We present a model of a `gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short range repulsive interactions, and apply it to the extraction of tree crowns fro... Read More about A higher-order active contour model for tree detection.

A study of Gaussian mixture models of color and texture features for image classification and segmentation (2006)
Journal Article
Permuter, H., Francos, J., & Jermyn, I. (2006). A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recognition, 39(4), 695-706. https://doi.org/10.1016/j.patcog.2005.10.028

The aims of this paper are two-fold: to define Gaussian mixture models (GMMs) of colored texture on several feature spaces and to compare the performance of these models in various classification tasks, both with each other and with other models popu... Read More about A study of Gaussian mixture models of color and texture features for image classification and segmentation.