scholarly journals A Polynomial Splines Identification Method Based on Control Nets

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhihua Wang ◽  
Hongmei Kang

In this study, based on Polynomial Splines with control nets, an identification method is investigated. We introduce polynomial splines with control nets defined over T-mesh. The basic idea is to extend T-vertices such that those T-vertices become interior cross vertices or boundary vertices. To this end, we introduce the design-suitable T-mesh for constructing polynomial splines with control net. In design-suitable T-meshes, there are no extra basis vertices produced by an appropriate extension of T-vertices. The basis functions are defined over each vertex in a design-suitable T-mesh by the means of constructing PHT-splines basis functions.

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S634-S634 ◽  
Author(s):  
Yun Zhou ◽  
Weiguo Ye ◽  
James R Brasic ◽  
Mohab Alexander ◽  
John Hilton ◽  
...  

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Xing-jian Zhang ◽  
Xiao-hua Zhao ◽  
Jian Rong ◽  
Shi-li Xu

2012 ◽  
Vol 132 (2) ◽  
pp. 231-237
Author(s):  
Yuuki Imanara ◽  
Kota Itakura ◽  
Masaki Samejima ◽  
Masanori Akiyoshi

2010 ◽  
Vol 130 (4) ◽  
pp. 430-436 ◽  
Author(s):  
Naoki Dou ◽  
Atushi Toyama ◽  
Kohki Satoh ◽  
Tadashi Naitoh ◽  
Kazuyuki Masaki

2012 ◽  
Vol 132 (6) ◽  
pp. 588-596
Author(s):  
Tadashi Naitoh ◽  
Keiki Takeda ◽  
Atsushi Toyama ◽  
Tatsuhiko Maeda

2012 ◽  
Vol 132 (3) ◽  
pp. 260-267 ◽  
Author(s):  
Tatsuhiko Maeda ◽  
Tadashi Naitoh ◽  
Atsushi Toyama ◽  
Keiki Takeda

Author(s):  
Ryoichi ISAWA ◽  
Tao BAN ◽  
Shanqing GUO ◽  
Daisuke INOUE ◽  
Koji NAKAO

Equipment ◽  
2006 ◽  
Author(s):  
O. Balima ◽  
D. Petit ◽  
J. B. Saulnier ◽  
M. Girault ◽  
Y. Favennec

2020 ◽  
Vol 2020 (14) ◽  
pp. 294-1-294-8
Author(s):  
Sandamali Devadithya ◽  
David Castañón

Dual-energy imaging has emerged as a superior way to recognize materials in X-ray computed tomography. To estimate material properties such as effective atomic number and density, one often generates images in terms of basis functions. This requires decomposition of the dual-energy sinograms into basis sinograms, and subsequently reconstructing the basis images. However, the presence of metal can distort the reconstructed images. In this paper we investigate how photoelectric and Compton basis functions, and synthesized monochromatic basis (SMB) functions behave in the presence of metal and its effect on estimation of effective atomic number and density. Our results indicate that SMB functions, along with edge-preserving total variation regularization, show promise for improved material estimation in the presence of metal. The results are demonstrated using both simulated data as well as data collected from a dualenergy medical CT scanner.


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