Naslov
Image Segmentation in Shape Synthesis, Shape Optimization, And Reverse Engineering

Autori
Ćurković, Milan ; Ćurković, Andrijana ; Vučina, Damir ; Samardžić, Domagoj

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Artificial Intelligence and Applications / Wyld, David C. ; Nagamalai, Dhinaharan - , 2022, 279-284

ISBN
978-1-925953-78-7

Skup
8th International Conference on Signal and Image Processing (SIGI 2022)

Mjesto i datum
Beč, Austrija, 29.10.2022. - 30.10.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Image Segmentation ; Shape Optimization ; Shape Synthesis ; Reverse Engineering

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Strojarstvo

POVEZANOST RADA