
Investigation of fragment sizes in laser-driven shock-loaded tin with improved watershed segmentation method
Author(s) -
Weiji He,
Jianting Xin,
Genbai Chu,
Jing Li,
Jian-Li Shao,
Feng Liu,
Miao Shui,
Feng Qian,
Leifeng Cao,
Pei Wang,
Yuqiu Gu
Publication year - 2014
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.22.018924
Subject(s) - segmentation , robustness (evolution) , materials science , computer science , laser , optics , shock (circulatory) , artificial intelligence , biological system , physics , chemistry , medicine , biochemistry , biology , gene
Studying dynamic fragmentation in shock-loaded metals and evaluating the geometrical and kinematical properties of the resulting fragments are of significant importance in shock physics, material science as well as microstructural modeling. In this paper, we performed the laser-driven shock-loaded experiment on the Shenguang-Ш (SGШ) prototype laser facility, and employed X-ray micro-tomography technique to give a whole insight into the actual fragmentation process. To investigate the size distribution of the soft recovered fragments from Poly 4-methyl-1-pentene (PMP) foam sample, we further developed an automatic analysis approach based on the improved watershed segmentation. Comparison results of segmenting fragments in slices with different methods demonstrated that our proposed segmentation method can overcome the drawbacks of under-segmentation and over-segmentation, and has the best performance in both segmentation accuracy and robustness. With the proposed automatic analysis approach, other parameters such as the position distribution and penetration depth are also obtained, which are very helpful for understanding the dynamic failure mechanisms.