Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Segmentation, Volume"'
Autor:
Tânia Mara Pimenta Amaral, Juliana Vilela Bastos, Vanda Helena de Faria Queiroz, Roselaine Moreira Coelho Milagres, Evandro Neves Abdo, Mara Valadares de Abreu, Cláudia Borges Brasileiro, Daksh Desai Chetan, Luiz André Pimenta
Publikováno v:
RGO: Revista Gaúcha de Odontologia, Vol 72 (2024)
ABSTRACT Objective: The present study aimed to evaluate cone beam computed tomography image segmentation as a tool for measuring the volume of external inflammatory root resorption in human permanent teeth. Methods: A total of 40 cone beam computed t
Externí odkaz:
https://doaj.org/article/45f24de5005b48fdb6c1ebed821ab91e
Publikováno v:
IET Computer Vision, Vol 11, Iss 8, Pp 733-743 (2017)
Stereo matching between binocular stereo images is fundamental to many computer vision tasks, such as three‐dimensional (3D) reconstruction and robot navigation. Various structures of real 3D scenes lead stereo matching to be an old yet still chall
Externí odkaz:
https://doaj.org/article/4e5572ef6e024daaae3480d8d79ba545
Publikováno v:
Takanashi, Ikuko; Lum, Eric; Murakin, Shigeru; & Ma, Kwan-Liu. (2002). ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis. 10th Pacific Conference Graphics and Applications (PG'02). UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/2fb2m2fj
This paper introduces an interactive classification technique for volume data, called ISpace, which uses Independent Component Analysis (ICA) and a multidimensional histogram of the volume data in a transformed space. Essentially, classification in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::a1b143d05d5dda0866be1fb936e40d6b
http://www.escholarship.org/uc/item/2fb2m2fj
http://www.escholarship.org/uc/item/2fb2m2fj
Publikováno v:
Takanashi, Ikuko; Lum, Eric; Ma, Kwan-Liu; Meyer, Joerg; Hamann, Bernd; & Olson, Arthur J.Erbacher, Robert F.; Chen, Philip C.; Groehn, Matti; Roberts, Jonathan C.; & Wittenbrink, Craig M.(2002). Segmentation and 3D Visualization of High-Resolution Human Brain Cryosections. UC Davis: Institute for Data Analysis and Visualization. Retrieved from: http://www.escholarship.org/uc/item/0gs2k6bs
We present a semi-automatic technique for segmenting a large cryo-sliced human brain data set that contains 753 highresolution RGB color images. This human brain data set presents a number of unique challenges to segmentation and visualization due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::a95a0f28e118947cfccbc2ecedea9452
http://www.escholarship.org/uc/item/0gs2k6bs
http://www.escholarship.org/uc/item/0gs2k6bs
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.