Study on the detection method of broken piece perforation and crater based on hyperbolic threshold segmentation

Jian-sheng Zhang; Hao Sun; Chao Li

doi:10.1117/12.2622895

1 December 2021 Study on the detection method of broken piece perforation and crater based on hyperbolic threshold segmentation

Jian-sheng Zhang, Hao Sun, Chao Li

Author Affiliations +

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 120792C (2021) https://doi.org/10.1117/12.2622895
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

Target plate method is an important method to detect the scattering characteristics of fragment warhead，In view of the low efficiency and unified judgment standard that manual work detects the number of fragment perforations and pits on the target plate. An image processing method based on hyperboloid threshold segmentation is proposed. Firstly, the geometric distortion correction of the target plate is realized with the homography matrix. The target plate is segmented with straight line fitting using the boundary straightness and the target vertex, which is smoothed by guided filtering. Secondly, according to the illumination change with different positions on the target plate of the flashlight, the image gradient method is used to generate hyperbolic threshold to segment the fragment perforations and pits. At last, the region growth based on gray similarity seed points is used to detect the fragment perforations and pits. The method can quickly and accurately segment the fragment perforations and pits region, and provide the basis for objective and accurate evaluation of warhead power.

Citation Download Citation

Jian-sheng Zhang, Hao Sun, and Chao Li "Study on the detection method of broken piece perforation and crater based on hyperbolic threshold segmentation", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 120792C (1 December 2021); https://doi.org/10.1117/12.2622895

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KEYWORDS

Image segmentation

Distortion

Detection and tracking algorithms

Image processing

Image filtering

Cameras

Target detection

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