| A New Image Processing-Based Fragment Detection Approach for Arena Fragmentation Test |
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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 |
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이혁재, 정찬호, 박용찬, 박웅, 손지홍 |
1한국과학기술원 전기 및 전자공학부
2한밭대학교 전기공학과
3국방과학연구소 제8기술연구본부 |
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| Abstract |
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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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