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 o bject 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.
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Caro, A., Alonso, T., Rodríguez, P.G., Durán, M.L., Ávila, M.M. (2007). Testing Geodesic Active Contours. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72849-8_9
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DOI: https://doi.org/10.1007/978-3-540-72849-8_9
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