Abstract
Active Contours are a widely used Pattern Recognition technique. Classical Active Contours are curves evolutionate by minimizing an energy function. However, they can detect only one object within an image with several objects, and the solution is highly dependent on parameters in its formulation. A solution can be found in Geodesic Active Contours (GAC). We have developed a version of this technique and improved some aspects to apply on real and practical cases. The algorithm has been tested with both synthetic and real images. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Caro, A., Alonso, T., Rodríguez, P. G., Duran, M. L., & Ávila, M. M. (2007). Testing geodesic active contours. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4478 LNCS, pp. 64–71). Springer Verlag. https://doi.org/10.1007/978-3-540-72849-8_9
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