基于改进最大类间方差法的靶板重孔检测

doi:10.12382/bgxb.2021.0201

兵工学报 ›› 2022, Vol. 43 ›› Issue (4): 924-930.doi: 10.12382/bgxb.2021.0201

基于改进最大类间方差法的靶板重孔检测

宋雨^1，2，王亚林³，杜博军³，王军^1，2，董兴法¹

(1.苏州科技大学电子与信息工程学院，江苏苏州 215009； 2.近地面探测技术重点实验室，江苏无锡 214035；3.中国白城兵器试验中心，吉林白城 137001)

上线日期:2022-05-08
作者简介:宋雨（1998—），女，硕士研究生。 E-mail: 1667202643@qq.com
基金资助:
“十三五”江苏省重点学科项目（20168765）；近地面探测技术重点实验室基金项目（TCGZ2018A005）；江苏省研究生工作站项目（2017272）；江苏省研究生科研创新项目（KYCX17_2060）

Detection of Overlapped Bullet Holes Based on Improved Otsu's Thresholding Method

SONG Yu^1，2， WANG Yalin³， DU Bojun³， WANG Jun^1，2， DONG Xingfa¹

(1.School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu, China；2.Science and Technology on Near-Surface Detection Laboratory, Wuxi 214035, Jiangsu, China；3. Baicheng Ordnance Test Center of China, Baicheng 137001, Jilin, China)

Online:2022-05-08

摘要/Abstract

摘要： 传统的自动报靶系统对于连发射击到靶板上的重叠弹孔检测率低，通常基于图像处理的自动报靶系统对重叠弹孔会识别成一个弹孔，漏检率高，为此提出一种基于改进最大类间方差法(Otsu法)的靶板重孔检测方法。采用改进Otsu法的弹孔识别方法将重叠弹孔与背景分割，再用两遍扫描法对分割后的图像进行处理，得到重叠弹孔区域，最后采用最小外接矩形法定位重孔区域的两个弹孔中心。结果表明：与传统霍夫变换相比，所提方法能有效定位重孔的两个弹孔中心和计算出中心坐标；该方法计算复杂度低，在缩短计算时间的同时还提高了弹孔中心定位的精确度，对于重合度不大于88.73%的重孔，弹孔中心测量误差不大于3像素，提高了对靶孔的检测精度。

关键词: 重孔检测, 改进最大类间方差法, 图像处理, 最小外接矩形

Abstract: The traditional automatic target-scoring system has a low detection rate for the overlapped bullet holes on the target plate hit by successive projectiles. Generally, the automatic target-scoringing system based on image processing recognizes the overlapped target holes as one bullet hole, which leads to a high missed detection rate. To solve this problem, a new method based on Otsu is presented. The bullet holes recognition method based on improved Otsu method is employed to segment the overlapped bullet hole image and its background, and then the overlapped bullet hole region is obtained from the segmented image by the two-pass algorithm. The minimum bounding rectangle method is used to position the center of the two bullet holes in the overlapped bullet hole region. The results show that, compared with the traditional Hough transform, the proposed method can be used to effectively position the center of the two bullet holes and calculate the center coordinates. The measured error of bullet holes is not more than 3 pixel for the overlapped holes of which the degree of overlap is less than 88.73%. The improved method is capable of reducing the computational time and improving the positioning accuracy of bullet hole center with a low computational complexity, which plays a significant role in improving the detection accuracy of target hole.

Key words: overlappedbulletholesdetection, improvedotsumethod, imageprocessing, minimumboundingrectangle

中图分类号:

TP391.9

宋雨, 王亚林, 杜博军, 王军, 董兴法. 基于改进最大类间方差法的靶板重孔检测[J]. 兵工学报, 2022, 43(4): 924-930.

SONG Yu, WANG Yalin, DU Bojun, WANG Jun, DONG Xingfa. Detection of Overlapped Bullet Holes Based on Improved Otsu's Thresholding Method[J]. Acta Armamentarii, 2022, 43(4): 924-930.

参考文献

［1］武江鹏，宋萍，郝创博，等.多弹丸时空散布参数测试方法仿真研究［J］.兵工学报，2015，36(10):1967-1974.
WU J P，SONG P，HAO C B，et al. Simulation of measuring method for space-time distributed parameters of multiple projectiles［J］.Acta Armamentarii，2015，36(10):1967-1974.(in Chinese)
［2］陈瑞，倪晋平.基于正交试验的光电立靶光幕阵列结构参数优化方法［J］.兵工学报，2017，38(11):2234-2239.
CHEN R，NI J P.Optimization method of light-screen-array structure parameters of photoelectric target based on orthogonal test ［J］.Acta Armamentarii，2017，38(11):2234-2239.(in Chinese)
［3］张斌，李佳潞，赵冬娥，等.基于小波滤波及相关分析的激光光幕破片测速信号数据处理［J］.兵工学报，2016，37(3):489-495.
ZHANG B，LI J L，ZHAO D E，et al.Signal processing of laser screen fragments velocity measurement based on wavelet transform and correlation analysis［J］.Acta Armamentarii，2016，37(3):489-495. (in Chinese)
［4］尹乾.基于图像处理技术的自动报靶系统研究［D］.重庆:重庆大学，2017.
YIN Q.Research on automatic target scoring system based on image processing technology［D］.Chongqing:Chongqing University，2017.(in Chinese)
［5］ WIDAYAKA P D，KUSUMA H，ATTAMIMI M.Automatic shooting scoring system based on image processing［J］.Journal of Physics: Conference Series. IOP Publishing，2019，1201(1):012047.
［6］胡杰，支凯艳，陈小军.基于LabVIEW的图像处理自动报靶软件设计与实现［J］.兵器装备工程学报，2019，40(11):83-86.
HU J，ZHI K Y，CHEN X J.Design and implementation of automatic target application software for image processing based on LabVIEW［J］.Journal of Ordnance Equipment Engineering，2019，40(11):83-86.(in Chinese)
［7］余梓.基于图像处理技术的弹孔定位系统研究［D］.哈尔滨:哈尔滨理工大学，2016.
YU Z.Research on bullet hole positioning system based on image processing technology［D］.Harbin:Harbin University of Science and Technology，2016.(in Chinese)
［8］周友行，周健，邓渝波，等.基于边缘特征与HSI色彩特征的胸环靶弹孔识别［J］.计算机工程与应用，2015，51(24):190-194.
ZHOU Y X，ZHOU J，DENG Y B，et al.Chest bitmap bullet identification based on edge feature and HSI color feature［J］.Computer Engineering and Applications，2015，51(24):190-194.(in Chinese)
［9］武锦辉，刘吉.战斗部静爆场破片参数测试技术发展现状［J］.兵器装备工程学报，2019，40(10):104-110.
WU J H，LIU J.Development status of testing the parameters of warhead fragment in the static explosive field［J］.Journal of Ordnance Equipment Engineering，2019，40(10):104-110. (in Chinese)
［10］倪晋平，张为防，周平.一种基于投影原理的多弹孔识别方法［J］.应用光学，2010，31(1):60-64.
NI J P，ZHANG W F，ZHOU P.Identifying bullet holes on paperboard with projection method［J］.Journal of Applied Optics，2010，31(1):60-64.(in Chinese)
［11］王洪玉，程杨.融合时空上下文信息的胸环靶着弹检测算法［J］.电子与信息学报，2020，42(8):1959-1967.
WANG H Y，CHENG Y.Detection algorithm of chest bitmap based on spatio-temporal context information ［J］.Journal of Electronics and Information Technology，2020，42(8):1959-1967.(in Chinese)
［12］马逸东，周顺勇.基于连通性检测的图像椒盐噪声滤波算法［J］.液晶与显示，2020，35(2):167-172.
MA Y D，ZHOU S Y.Salt and pepper noise filtering algorithm based on connectivity detection［J］.Chinese Journal of Liquid Crystals and Displays，2020，35(2):167-172.(in Chinese)
［13］张法全，王国富，曾庆宁，等.利用重心原理的图像目标最小外接矩形快速算法［J］.红外与激光工程，2013，42(5):1382-1387.
ZHANG F Q，WANG G F，ZENG Q N，et al.New algorithm for minimum enclosing rectangle of the object in the image region based on center-of-gravity principle［J］.Infrared and Laser Engineering，2013，42(5):1382-1387.(in Chinese)
［14］ OTSU N.A threshold selection method from gray-level histograms［J］.IEEE Transactions on Systems， Man， and Cybernetics，1979，9(1):62-66.
［15］吴一全，吴加明，占必超.一种可有效分割小目标图像的阈值选取方法［J］.兵工学报， 2011，32(4):469-475.
WU Y Q， WU J M，ZHAN B C.An Effective method of threshold selection for small object image［J］.Acta Armamentarii，2011，32(4): 469-475.(in Chinese)

第43卷第4期2022 年4月
兵工学报ACTA ARMAMENTARII
Vol.43No.4Apr.2022

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[7]	孙晶, 郑庆余, 徐文骥, 黄帅, 刘新. 非对称等离子体弧温度场三维重建[J]. 兵工学报, 2014, 35(7): 1097-1102.
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基于改进最大类间方差法的靶板重孔检测

Detection of Overlapped Bullet Holes Based on Improved Otsu's Thresholding Method

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