Abstract
This work presents a simple method to generate 2D contours based in the small number of samples. The method uses the Fourier transform and genetic algorithms. Using crossover and mutation operator news samples were generated. An application case is presented and the samples produced were tested in the classifier construction. The result obtained indicated the method can be a good solution to solve the small sample problem to feature vectors based in shape characteristics.
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Falvo, M., Florindo, J.B., Bruno, O.M. (2011). A Method to Generate Artificial 2D Shape Contour Based in Fourier Transform and Genetic Algorithms. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2011. Lecture Notes in Computer Science, vol 6915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23687-7_19
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DOI: https://doi.org/10.1007/978-3-642-23687-7_19
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