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J. KIMS Technol > Volume 22(5); 2019 > Article
Journal of the Korea Institute of Military Science and Technology 2019;22(5):599-606.
DOI: https://doi.org/10.9766/KIMST.2019.22.5.599   
A New Image Processing-Based Fragment Detection Approach for Arena Fragmentation Test
Hyukzae Lee, Chanho Jung, Yongchan Park, Woong Park, Jihong Son
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology
2Department of Electrical Engineering, Hanbat National University
3The 5th Research and Development Institute, Agency for Defense Development
Arena 시험을 위한 영상처리 기반 탄두 파편 검출 기법
이혁재, 정찬호, 박용찬, 박웅, 손지홍
1한국과학기술원 전기 및 전자공학부
2한밭대학교 전기공학과
3국방과학연구소 제8기술연구본부
The Arena Fragmentation Test(AFT) is one of the important tasks for designing a high-explosive warhead. In order to measure the statistics of a warhead in the test, fragments of a warhead that penetrate steel plates are detected by using complex and expensive measuring equipment. In this paper, instead of using specific hardware to measure the statistics of a warhead, we propose to use an image processing based object detection algorithm to detect fragments in AFT. To this end, we use a hard-thresholding method with a brightness feature and apply a morphology filter to remove noise components. We also propose a simple yet effective temporal filtering method to detect only the first penetrating fragments. We show that the performance of the proposed method is comparable to that of a hardware system under the same experimental conditions. Furthermore, the proposed method can produce better results in terms of finding exact positions of fragments.
Key Words: Image Processing, Object Detection, Arena Fragmentation Test
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