Tuned Terminal Triangles Centroid Delaunay Algorithm for Quality Triangulation

Rivara, María‐Cecilia; Rodríguez-Moreno, Pedro A.

doi:10.1007/978-3-030-13992-6_12

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Figure 2a shows the scan path-i.e., the scan points from which the imaging data are received. The triangulation of the scan points based on the Delaunay algorithm [33] is presented in Figure 2b. The image can be obtained by filling every triangle with the average pixel value of its three vertexes.…”

Section: Imaging Principle Of Thz Rotation Mirror Imaging Systemmentioning

confidence: 99%

An Imaging Enhancement Method for a Terahertz Rotation Mirror Imaging System Based on a Scale-Recurrent Network

et al. 2021

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The terahertz (THz) rotation mirror imaging system is an alternative to the THz array imaging system. A THz rotation mirror imaging system costs less than a THz array imaging system, while the imaging speed of a THz rotation mirror imaging system is much higher than the imaging speed of a THz raster-scan imaging system under the same hardware conditions. However, there is some distortion in the THz image from the THz rotation mirror imaging system. The distortion, which makes images from the THz rotation mirror imaging system difficult to identify, results from the imaging principle of the THz rotation mirror imaging system. In this article, a method based on the scale-recurrent network (SRN) is put in place to correct the distortion. A comparison between distorted THz images and corrected images shows that the proposed method significantly increases the structural similarity between the THz images and the samples.

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Section: Imaging Principle Of Thz Rotation Mirror Imaging Systemmentioning

confidence: 99%

An Imaging Enhancement Method for a Terahertz Rotation Mirror Imaging System Based on a Scale-Recurrent Network

et al. 2021

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show abstract

“…The algorithms above place Steiner vertices at the circumcenter of a poor-quality tetrahedron. Instead, one can also place them at off-center points such that they are sufficiently far away from other vertices in the mesh.Üngör et al [14,20,45,46], Chernikov and Chrisochoides [5,6,15], Rivara et al [27,28,29], Hudson [17,18], and Engwirda [12,13] developed heuristic algorithms that place Steiner vertices at off-center points. They have shown that their algorithms provide quality guarantees that are as good as the algorithms above.…”

Section: Introductionmentioning

confidence: 99%