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Image Segmentation in Shape Synthesis, Shape Optimization, And Reverse Engineering (CROSBI ID 726873)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Ćurković, Milan ; Ćurković, Andrijana ; Vučina, Damir ; Samardžić, Domagoj Image Segmentation in Shape Synthesis, Shape Optimization, And Reverse Engineering // Computer science and information technology / Wyld, David C. ; Nagamalai, Dhinaharan (ur.). 2022. str. 279-284 doi: 10.5121/csit.2022.121824

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

Povezanost rada

Matematika, Strojarstvo

Poveznice