Abstract
In this work a system based on genetic algorithms is presented that generates valid initializations for deformable models methods. Following a systematics similar to that used by other authors, a model of the shape we are looking for (cows in lateral position) is constructed using PDM, and later the search within the image is made based on instances of that model, and using genetic algorithms techniques. Since we have color images, several objective functions are suggested that take advantage of this information, which are tested later over a database of 309 animal images taken directly in the field.
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González Velasco, H.M., García Orellana, C.J., Macías Macías, M., Acevedo Sotoca, M.I. (2001). GA Techniques Applied to Contour Search in Images of Bovine Livestock. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_57
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DOI: https://doi.org/10.1007/3-540-45720-8_57
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