algorithm based on a laplacian contraction method Search Results


axis  (Genovis Inc)
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Genovis Inc axis
Axis, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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axis - by Bioz Stars, 2026-05
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algorithm based on a laplacian contraction method  (MathWorks Inc)
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MathWorks Inc algorithm based on a laplacian contraction method
Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a <t>Laplacian</t> contraction method (E) .
Algorithm Based On A Laplacian Contraction Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/algorithm based on a laplacian contraction method/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
algorithm based on a laplacian contraction method - by Bioz Stars, 2026-05
90/100 stars
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Image Search Results


Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a Laplacian contraction method (E) .

Journal: Frontiers in Plant Science

Article Title: Root system architecture and environmental flux analysis in mature crops using 3D root mesocosms

doi: 10.3389/fpls.2022.1041404

Figure Lengend Snippet: Semi-automated segmentation of the root system point cloud. Point cloud of the root system with the scaffold is aligned to a predefined reference model by performing linear transform on manually picked target points to the control points (A) . Point cloud of the scaffold is removed based on the position and color information (B) . Blue noise on the root is then removed using a threshold method (C) . A post manual processing is conducted to further clean the root system point cloud (D) . Point cloud is skeletonized into a network system using an algorithm based on a Laplacian contraction method (E) .

Article Snippet: To be able to compute the length dependent features, point cloud is skeletonized into a network system using an algorithm based on a Laplacian contraction method , which was conducted in MATLAB R2017a.

Techniques: Control