Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
International Journal of Computer Vision
Recognition and reconstruction of buildings from multiple aerial images
Computer Vision and Image Understanding
State of the art on automatic road extraction for GIS update: a novel classification
Pattern Recognition Letters
A Gibbs Point Process for Road Extraction from Remotely Sensed Images
International Journal of Computer Vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical pattern recognition in remote sensing
Pattern Recognition
Moments and Moment Invariants in Pattern Recognition
Moments and Moment Invariants in Pattern Recognition
Automatic seeded region growing for color image segmentation
Image and Vision Computing
Fuzzy energy-based active contours
IEEE Transactions on Image Processing
A region growing and merging algorithm to color segmentation
Pattern Recognition
Gradient vector flow active contours with prior directional information
Pattern Recognition Letters
Active contouring based on gradient vector interaction and constrained level set diffusion
IEEE Transactions on Image Processing
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
A topology preserving level set method for geometric deformable models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Localizing Region-Based Active Contours
IEEE Transactions on Image Processing
Local Region Descriptors for Active Contours Evolution
IEEE Transactions on Image Processing
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Archaeological trace extraction in aerial or satellite data is a difficult issue for automatic algorithms due to the traces similarity to other image artifacts or to their poor boundary information, discontinuities and so on. We propose in this paper a modified region based active contour approach for archaeological trace identification that overcomes the limits of standard methods of region uniformity and different consistencies with respect to the background. The proposed approach introduces a directional energy model in the minimization of the conventional energy term used in the existing active contour approaches. The local trace direction is estimated automatically after an initial unconstrained evolution of the region. Then, an iterative block based directional procedure has been introduced to limit the application of the modified method to local and adjacent areas and to allow the processing of large images in which the traces may have complex intersections or follow a curved trajectory. Finally, in order to reduce the initialization dependance problem, we propose the use of one seed point for each trace as the initial curve. Tests on the extraction of archaeological traces such as centuriations and ancient roads, visible as crop marks, have demonstrated that the proposed method and the developed MATLAB-based Graphical User Interface (GUI) facilitate unskilled/semi-skilled users in their archaeologic traces mapping operations and improve their detection precisions.