Title
A Higher-Order Active Contour Model for Tree Detection
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.
Year
DOI
Venue
2006
10.1109/ICPR.2006.79
ICPR (2)
Keywords
Field
DocType
image domain,existing hoac model,contour point,prior energy,active contour model,data term,geometric information,aerial image,tree detection,active contour,aerial imagery,prior geometric knowledge,vegetation,higher order,perturbations,computational geometry,feature extraction
Active contour model,Object detection,Computer vision,Pattern recognition,Computer science,Computational geometry,Feature extraction,Artificial intelligence,Aerial imagery,Perturbation (astronomy)
Conference
ISBN
Citations 
PageRank 
0-7695-2521-0
9
0.73
References 
Authors
6
4
Name
Order
Citations
PageRank
Peter Horvath1111.77
Ian Jermyn289479.47
Josiane Zerubia32032232.91
Zoltan Kato426528.28