scholarly journals SmoothIsoPoints: Making PDE-based Surface Extraction from Point-based Volume Data Fast

2018 ◽  
Author(s):  
Paul Rosenthal ◽  
Vladimir Molchanov ◽  
Lars Linsen
Keyword(s):  
Volume Data ◽  
Surface Extraction

Out-of-core adaptive iso-surface extraction from binary volume data

2014 ◽  
Vol 76 (6) ◽  
pp. 593-608 ◽  
Author(s):  
Ricardo Uribe Lobello ◽  
Florent Dupont ◽  
Florence Denis
Keyword(s):  
Volume Data ◽  
Surface Extraction

Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization

2008 ◽  
Vol 14 (6) ◽  
pp. 1483-1490 ◽  
Author(s):  
Lars Linsen ◽  
Tran Van Long ◽  
Paul Rosenthal ◽  
Stephan Rosswog
Keyword(s):  
Volume Data ◽  
Particle Volume ◽  
Surface Extraction ◽  
Cluster Visualization

Integration of volume decompression and out-of-core iso-surface extraction from irregular volume data

2006 ◽  
Vol 22 (4) ◽  
pp. 249-265 ◽  
Author(s):  
Chuan-Kai Yang ◽  
Tzi-Cker Chiueh
Keyword(s):  
Volume Data ◽  
Surface Extraction

A Comparative of 3D Surface Extraction Methods for Potential Metrology Applications

2014 ◽  
Vol 615 ◽  
pp. 15-21
Author(s):  
Sinué Ontiveros-Zepeda ◽  
José Antonio Yagüe-Fabra ◽  
Roberto Jiménez Pacheco ◽  
Francisco Javier Brosed-Dueso
Keyword(s):  
Computer Vision ◽  
Edge Detection ◽  
Extraction Methods ◽  
Point Of View ◽  
Detection Methods ◽  
Volume Data ◽  
Surface Extraction ◽  
Advantages And Disadvantages ◽  
Factors Influencing ◽  
Number Of Factors

The number of factors influencing the CT process for metrology applications increases its complexity and cause the loss of accuracy during CT measurements. One of the most critical is the edge detection also called surface extraction or image segmentation, which is the process of surface formation from the CT`s volume data. This paper presents different edge detection methods commonly used in areas like machine and computer vision and they are analyzed as an alternative to the commonly and commercially used for CT metrology applications. Each method is described and analyzed separately in order to highlight its advantages and disadvantages from a metrological point of view. An experimental comparative between two of them is also shown.

Crack surface extraction of industrial CT volume data using FPIT and planelet

2011 ◽  
Vol 19 (1) ◽  
pp. 1-12
Author(s):  
Zongjian Li ◽  
Li Zeng ◽  
Xiaobing Zou ◽  
Caibing Xiang
Keyword(s):  
Crack Surface ◽  
Volume Data ◽  
Surface Extraction ◽  
Industrial Ct ◽  
Ct Volume

scholarly journals Cubical Marching Squares: Adaptive Feature Preserving Surface Extraction from Volume Data

2005 ◽  
Vol 24 (3) ◽  
pp. 537-545 ◽  
Author(s):  
Chien.-Chang Ho ◽  
Fu-Che Wu ◽  
Bing-Yu Chen ◽  
Yung-Yu Chuang ◽  
Ming Ouhyoung
Keyword(s):  
Volume Data ◽  
Surface Extraction ◽  
Feature Preserving

Analisis Kinerja dan Pengaruh Pelebaran Jalan serta Pembuatan Median Jalan (Studi Kasus Jalan Temanggung Tilung Kota Palangkaraya)

2018 ◽  
Vol 7 (1) ◽  
pp. 51-60
Author(s):  
Fitri Wulandari ◽  
Nirwana Puspasari ◽  
Noviyanthy Handayani
Keyword(s):  
Data Retrieval ◽  
Service Level ◽  
Traffic Volume ◽  
Primary Data ◽  
Volume Data ◽  
Saturation Degree ◽  
The Road ◽  
Before And After ◽  
Road Widening ◽  
The Way

Jalan Temanggung Tilung is a 2/2 UD type road (two undirected two-way lanes) with a road width of 5.5 meters, which is a connecting road between two major roads, namely the RTA road. Milono and the path of G. Obos. Over time, the volume of traffic through these roads increases every year, plus roadside activities that also increase cause congestion at several points of the way. To overcome this problem, the local government carried out road widening to increase the capacity and level of road services. The study was conducted to determine the amount of traffic volume, performance, service level of the Temanggung Tilung road section at peak traffic hours before and after road widening. Data retrieval is done by the direct survey to the field to obtain primary data in the form of geometric road data, two-way traffic volume data, and side obstacle data. Performance analysis refers to the 1997 Indonesian Road Capacity Manual (MKJI) for urban roads. From the results of data processing, before increasing the road (Type 2/2 UD), the traffic volume that passes through the path is 842 pcs/hour and after road widening (Type 4/2 UD) the traffic volume for two directions is 973 pcs/hour, with route A equaling 528 pcs/hour and direction B equaling 445 pcs/hour. Based on the analysis of road performance before road enhancement, the capacity = 2551 pcs/hour, saturation degree = 0.331, and the service level of the two-way road are level B. Based on the analysis of the performance of the way after increasing the way, the direction capacity A = 2686 pcs/hour and direction B = 2674 pcs /hour, saturation degree for direction A = 0.196 and direction B = 0.166, service level for road direction A and direction B increase to level A

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