Image Segmentation in Shape Synthesis, Shape Optimization, And Reverse Engineering (CROSBI ID 726873)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ćurković, Milan ; Ćurković, Andrijana ; Vučina, Damir ; Samardžić, Domagoj
engleski
Image Segmentation in Shape Synthesis, Shape Optimization, And Reverse Engineering
Image segmentation and segmentation of geometry are one of the basic requirements for reverse engineering, shape synthesis, and shape optimization. In terms of shape optimization and shape synthesis where the original geometry should be faithfully replaced with some mathematical parametric model (NURBS, hierarchical NURBS, T- Spline, …) segmentation of geometry may be done directly on 3D geometry and its corresponding parametric values in the 2D parametric domain. In our approach, we are focused on segmentation of 2D parametric domain as an image instead of 3D geometry. The reason for this lies in our dynamic hierarchical parametric model, which controls the results of various operators from image processing applied to the parametric domain.
Image Segmentation ; Shape Optimization ; Shape Synthesis ; Reverse Engineering
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Podaci o prilogu
279-284.
2022.
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objavljeno
10.5121/csit.2022.121824
Podaci o matičnoj publikaciji
Computer science and information technology
Wyld, David C. ; Nagamalai, Dhinaharan
978-1-925953-78-7
2231-5403
Podaci o skupu
8th International Conference on Signal and Image Processing (SIGI 2022)
predavanje
29.10.2022-30.10.2022
Beč, Austrija