Skeleton Extraction of 2D Objects Using Shock Wavefront Detection

Author(s):  
Rubén Cárdenes ◽  
Juan Ruiz-Alzola
2011 ◽  
Vol 65 ◽  
pp. 407-410
Author(s):  
Xiao Qing Feng

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.


Author(s):  
Mathieu Gaillard ◽  
Chenyong Miao ◽  
James Schnable ◽  
Bedrich Benes
Keyword(s):  

Author(s):  
M. Herrero-Huerta ◽  
V. Meline ◽  
A. S. Iyer-Pascuzzi ◽  
A. M. Souza ◽  
M. R. Tuinstra ◽  
...  

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.


Author(s):  
Du Jiang ◽  
Gongfa Li ◽  
Ying Sun ◽  
Jianyi Kong ◽  
Bo Tao ◽  
...  

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