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A higher-order active contour model for tree detection

Horvath, P.; Jermyn, I.H.; Kato, Z.; Zerubia, J.

A higher-order active contour model for tree detection Thumbnail


Authors

P. Horvath

Z. Kato

J. Zerubia



Contributors

Y. Y. Tang
Editor

S. P. Wang
Editor

G. Lorette
Editor

D. S. Yeung
Editor

H. Yan
Editor

Abstract

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 from aerial images. The method uses the recently introduced `higher order active contours' (HOACs), which incorporate long-range interactions between contour points, and thereby include prior geometric information without using a template shape. This makes them ideal when looking for multiple instances of an entity in an image. We study an existing HOAC model for networks, and show via a stability calculation that circles stable to perturbations are possible for constrained parameter sets. Combining this prior energy with a data term, we show results on aerial imagery that demonstrate the effectiveness of the method and the need for prior geometric knowledge. The model has many other potential applications.

Citation

Horvath, P., Jermyn, I., Kato, Z., & Zerubia, J. (2006). A higher-order active contour model for tree detection. In Y. Y. Tang, S. P. Wang, G. Lorette, D. S. Yeung, & H. Yan (Eds.), 18th International Conference on Pattern Recognition (130-133). https://doi.org/10.1109/icpr.2006.79

Conference Name 18th International Conference on Pattern Recognition (ICPR'06)
Conference Location Hong Kong
Publication Date Aug 1, 2006
Deposit Date Aug 12, 2011
Publicly Available Date Apr 22, 2016
Volume 4
Pages 130-133
Series ISSN 1051-4651
Book Title 18th International Conference on Pattern Recognition
DOI https://doi.org/10.1109/icpr.2006.79
Public URL https://durham-repository.worktribe.com/output/1697520

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