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 SM ISO690:2012TEODORESCU, Horia Nicolai, RUSU, Mariana. Image segmentation based on G-UN-MMS and heuristics. theoretical background and results. In: Proceedings of the Romanian Academy Series A - Mathematics Physics Technical Sciences Information Science, 2013, vol. 14, pp. 78-85. ISSN 1454-9069. |
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  Proceedings of the Romanian Academy Series A - Mathematics Physics Technical Sciences Information Science |
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| Volumul 14 / 2013 / ISSN 1454-9069 | ||||||
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| Pag. 78-85 | ||||||
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We present the concept of image segmentation based on Gauss - Uniform Noise Mixed Models (GUN-MM) that we also introduce in this paper, the theoretical foundation of the segmentation method based on this model, results of the method on several classes of pictures, and a comparison with other methods. The proposed implementation of the G-UN-MM method has a simple and sound theoretical foundation and is not computationally demanding. It produces in many cases better segmentation results than other methods that are more computationally intensive. |
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| Cuvinte-cheie algorithm, Gauss mixed model, Heuristic rules, Histogram, image segmentation, statistical model, Uniform noise mixed model |
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