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Optimal Edges in Morphological Snakes | ||
Control and Optimization in Applied Mathematics | ||
مقاله 4، دوره 8، شماره 1، شهریور 2023، صفحه 55-67 اصل مقاله (785.98 K) | ||
نوع مقاله: Research Article | ||
شناسه دیجیتال (DOI): 10.30473/coam.2022.61960.1185 | ||
نویسنده | ||
Rasool Hatamian Joghali* | ||
Department of Mathematics, Payame Noor University (PNU), P.O. BOX 19395-4697, Tehran, Iran. | ||
چکیده | ||
In 2010, Alvarez et al. proposed an algorithm for morphological snakes that could detect objects whose edges consist of convex sets and polygonal edges. However, the algorithm may not detect the boundary well if the edges of an object contain a convex set or if there are several separated objects in an image. In this paper, we present two optimal sub-algorithms that are modifications to the Alvarez et al. algorithm. Our algorithms provide optimal edge detection for images and we present examples to demonstrate their effectiveness. | ||
کلیدواژهها | ||
Morphological curves؛ Partial differential equation؛ Numerical solution؛ Optimization | ||
مراجع | ||
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[8] Wang, M., Li, P., Liu, F. (2019). “Multi-atlas active contour segmentation method using template optimization algorithm”, BMC Medical Imaging, 19(1), 1-13.
[9] Wu, B., Yang, Y. (2012)., “local- and global-statistics-based active contour model for image segmentation”, Mathematical Problems in Engineering, 1-16.
[10] Yeo, S. Y., Xie, X., Sazonov, I., Nithiarasu, P. (2014). “Segmentation of biomedical images using active contour model with robust image feature and shape prior”, International Journal for Numerical Methods in Biomedical Engineering, 30, 232-248. | ||
آمار تعداد مشاهده مقاله: 146 تعداد دریافت فایل اصل مقاله: 123 |