Skeleton Extraction of 2D Objects Using Shock Wavefront Detection

2005 ◽  
pp. 392-397 ◽  
Author(s):  
Rubén Cárdenes ◽  
Juan Ruiz-Alzola
Keyword(s):  
Skeleton Extraction ◽  
Wavefront Detection

3D Model Skeleton Extraction Based on Poisson Equation

2011 ◽  
Vol 65 ◽  
pp. 407-410
Author(s):  
Xiao Qing Feng
Keyword(s):  
Energy Distribution ◽  
Poisson Equation ◽  
Critical Points ◽  
Extraction Method ◽  
3D Model ◽  
Geodesic Distance ◽  
Extraction Methods ◽  
Skeleton Extraction ◽  
Topology Structure

Existing skeleton extraction methods, however, are often sensitive to noises and disconnected. This paper proposed a skeleton extraction method based on Poisson equation. It can approximate the topology structure of the input 3D model well, and avoid the broken lines. First, the proposed method extracts critical points of a 3D model by using Poisson equation and geodesic distance. Then the extracted critical points are connected and star skeleton of the 3D model is defined. Finally, the reverse force filed based Poisson energy distribution is used to push star skeleton into final result. Experiments show that the extracted skeleton is continuous and has no small branches affected model noises.

Sorghum Segmentation by Skeleton Extraction

2020 ◽  
pp. 296-311
Author(s):  
Mathieu Gaillard ◽  
Chenyong Miao ◽  
James Schnable ◽  
Bedrich Benes
Keyword(s):  
Skeleton Extraction

scholarly journals ROOT PHENOTYPING FROM X-RAY COMPUTED TOMOGRAPHY: SKELETON EXTRACTION

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 417-422
Author(s):  
M. Herrero-Huerta ◽  
V. Meline ◽  
A. S. Iyer-Pascuzzi ◽  
A. M. Souza ◽  
M. R. Tuinstra ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Root System ◽  
High Throughput ◽  
Skeletal Structure ◽  
Plant Phenotyping ◽  
Skeleton Extraction ◽  
X Ray ◽  
Digital Twin ◽  
Three Samples ◽  
Root Phenotyping

Abstract. Breakthrough imaging technologies are a potential solution to the plant phenotyping bottleneck in marker-assisted breeding and genetic mapping. X-Ray CT (computed tomography) technology is able to acquire the digital twin of root system architecture (RSA), however, advances in computational methods to digitally model spatial disposition of root system networks are urgently required.We extracted the root skeleton of the digital twin based on 3D data from X-ray CT, which is optimized for high-throughput and robust results. Significant root architectural traits such as number, length, growth angle, elongation rate and branching map can be easily extracted from the skeleton. The curve-skeleton extraction is computed based on a constrained Laplacian smoothing algorithm. This skeletal structure drives the registration procedure in temporal series. The experiment was carried out at the Ag Alumni Seed Phenotyping Facility (AAPF) at Purdue University in West Lafayette (IN, USA). Three samples of tomato root at 2 different times and three samples of corn root at 3 different times were scanned. The skeleton is able to accurately match the shape of the RSA based on a visual inspection.The results based on a visual inspection confirm the feasibility of the proposed methodology, providing scalability to a comprehensive analysis to high throughput root phenotyping.

scholarly journals Visual-Based Crack Detection and Skeleton Extraction of Cement Surface

2019 ◽  
pp. 541-552
Author(s):  
Du Jiang ◽  
Gongfa Li ◽  
Ying Sun ◽  
Jianyi Kong ◽  
Bo Tao ◽  
...  
Keyword(s):  
Crack Detection ◽  
Skeleton Extraction ◽  
Cement Surface
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