Study of Characteristics Extraction of Underwater Bubbles Group Based on Hough Transform

doi:10.3969/j.issn.1000-1093.2019.12.015

Abstract

Abstract: Characteristics detection of ship bubble wake field is the basis of research on stealth performance of ship as well as guidance performance of wake-guided torpedo. The existing detection method of bubble characteristics is image acquisition based on high speed photography. A bubble characteristics extraction algorithm based on improved Hough transform is proposed. The proposed extraction algorithm can be used for the detection of bubble and the calculation of bubble radius distribution in the large-density and multi-overlapping bubbles images. The bubbles images were obtained in laboratory conditions, and the proposed algorithm was used to detect the number and size distribution of bubbles in these images. The detected result is highly accurate compared with the actual bubble number in the image. The result shows that the proposed algorithm can be used for the characteristics detection of ship bubble wake field. Key

Key words: ship, bubblewake, characteristicsextraction, imageprocessing, Houghtransform

CLC Number:

U661.71

QIN Ruolin， JIANG Xiaogang， JIN Liang'an， GAO Kexin. Study of Characteristics Extraction of Underwater Bubbles Group Based on Hough Transform[J]. Acta Armamentarii, 2019, 40(12): 2504-2512.

References

［1］蒋涛，刘凯，张江. 声尾流自导作用距离估算方法研究［J］.兵工学报，2010，31（6）：860-864.
JIANG T，LIU K，ZHANG J. Estimation method for wake homing range ［J］.Acta Armamentarii，2010，31（6）：860-864. (in Chinese)

［2］王维.舰船尾流微小气泡幕光学测量技术研究[D].西安：中国科学院西安光学精密机械研究所，2015.
WANG W. Research on optical measuring methods of micro bubbles of ship wake [D]. Xi'an：Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, 2015. (in Chinese)
[3］王红一.水中气泡图像处理方法及运动特性研究[D].天津：天津大学，2011.
WANG H Y. Research on image processing methods and dynamic characteristics of bubble in air-water system [D]. Tianjin:Tianjin University,2011. (in Chinese)

图14 水中气泡群图像及其检测结果
Fig.14 Bubble group images and detected results

图15 气泡半径分布图
Fig.15 Bubble radius distribution

[4］孟欣东.气液两相流中气泡特征参数三维测量方法研究[D].天津：天津大学，2010.
MENG X D. Study on the three-dimensional measurement of bubble characteristic parameters in gas-liquid two phase flow [D].Tianjin：Tianjin University,2010. (in Chinese)
［5］田恒斗，金良安，王涌，等.考虑单气泡运动特性的舰船尾流气泡分布研究［J］.兵工学报，2011，32（9）：1126-1130.
TIAN H D，JIN L A，WANG Y，et al. Study on wake bubble distribution based on single bubble motion characteristics ［J］. Acta Armamentarii，2011，32（9）：1126-1130. (in Chinese)
［6］朱东华，张晓晖，顾建农，等. 舰船尾流及其气泡数密度分布的数值计算［J］. 兵工学报，2011，32（3）：315-320.
ZHU D H，ZHANG X H，GU J N，et al. Numerical calculation of ship wake and its bubble number density distribution［J］. Acta Armamentarii，2011，32（3）：315-320. (in Chinese)
［7］田晶，白光富，江阳. 一种基于偏振特征的激光尾流探测方法［J］. 兵工学报，2018，39（5）：969-975.
TIAN J，BAI G F，JIANG Y. A detection method for ship wake based on polarization characteristic［J］. Acta Armamentarii，2018，39（5）：969-975. (in Chinese)

[8］陈小艳，王强，李柏林.改进的Hough变换检测圆方法[J].计算机系统应用，2015,24（8）：197-201.
CHEN X Y，WANG Q，LI B L. Improved Hough algorithm for circle detection [J]. Computer system & Application，2015，24（8）：197-201. (in Chinese)
［9］张翼飞，董受全，毕开波.基于Hough变换和聚类的舰艇编队队形识别算法［J］.兵工学报，2016,37（4）：648-655.
ZHANG Y F，DONG S Q，BI K B.Ship formation recognition algorithm based on Hough transform and clustering［J］.Acta Armamentarii，2016,37（4）：648-655. (in Chinese)

［10］鹿传国，冯新喜，孔云波，等.基于形态学和Hough变换的航迹起始研究［J］.兵工学报，2013,34（6）：704-710.
LU C G，FENG X X，KONG Y B，et al. Research on track initiation based on Hough transform and morphology ［J］. Acta Armamentarii，2013,34（6）：704-710. (in Chinese)

［11］ GONZALEZ R C,WOODS R E.Digital image processing［M］.3rd ed. Beijing: Publishing House of Electronics Industry, 2011: 197-201.
［12］ AL-LASHI R S，GUNN S R, CZERSKI H. Automated processing of oceanic bubble images for measuring bubble size distributions underneath breaking waves［J］.Journal of Atmospheric and Oceanic Technology，2016，33(8):1701-1714.
［13］ MAITRA M, GUPTA K R,MURKHERJEE M.Detection and counting of red blood cells in blood cell images using Hough transform［J］.International Journal of Computer Applications，2012，53(16):18-22.
［14］ KERBYSON D J, ATHERTON T J.Circle detection using Hough transform filters［C］∥Proceedings of the 5th International Conference on Image Processing and Its Applications. Edinburgh, UK：IET，1995：370-374.
［15］ CORKIDI G，DIAZ-URIBE R，FOLCH-MALLOL J L，et al.COVASIAM: an image analysis method that allows detection of confluent microbial colonies and colonies of various sizes for automated counting［J］.Applied and Environmental Miccrobiology，1998，64(4):1400-1404.

第40卷
第12期2019 年12月兵工学报ACTA
ARMAMENTARIIVol.40No.12Dec.2019

[1]	HE Baowei, ZHOU Guohua, LIU Shengdao, ZONG Jingwen, TANG Liezheng. Computation of Ship’s 3D Magnetostatic Field Utilizing Integral Equation Method of Scalar Magnetic Potential [J]. Acta Armamentarii, 2024, 45(3): 948-956.
[2]	YAO Menglei, HOU Hailiang, LI Dian, XIE Yue. Dynamic Response of Y-shaped Sandwich Plate and the Influence Factors of Anti Explosion Performance Under the Explosion Load in the Warship Cabin [J]. Acta Armamentarii, 2024, 45(3): 837-854.
[3]	CHEN Hui, LIU Jianhu, CHEN Xuebing, HUANG Yaping, CAI Rongkun. Research on Experimental Method for Impact Strength of Large Load FRP Supporting Element of a Shipboard Equipment [J]. Acta Armamentarii, 2024, 45(3): 957-962.
[4]	ZHOU Jian, SONG Xuejing, LIU Fuchen, ZHANG Wei. Tow Ship Interference Suppression Method Using Noise Canceller and Empirical Mode Decomposition in Deep-sea Environment [J]. Acta Armamentarii, 2024, 45(2): 443-453.
[5]	LIU Qian, ZHANG Zhuxin, ZHAO Dingxuan, WANG Hui, QIN Zhanyong. Electric Landing Assist Device of Shipborne Helicopters and Its Key Characteristics Analysis [J]. Acta Armamentarii, 2024, 45(1): 241-252.
[6]	WANG Guan, WEI Ning, GUO Yu. Departure and Landing Technologies of Shipborne Antisubmarine Helicopter Based on the U.S. Army Amphibious Assault Ship [J]. Acta Armamentarii, 2023, 44(S2): 199-208.
[7]	ZHANG Zhonghao, WANG Wei, ZHANG Guokai, WANG Zhen, WU Gu. Study on Deterioration and Damage Performance of Concrete at Different High Temperatures [J]. Acta Armamentarii, 2023, 44(S1): 152-159.
[8]	DUAN Yichen, SHEN Xiaohong, WANG Haiyan, YAN Yongsheng. An Anti-decoy Jamming Method of Ship-radiated Noise Signals Based on Unsupervised Time-frequency Information Fusion [J]. Acta Armamentarii, 2023, 44(9): 2722-2731.
[9]	LI Jingfeng, CHEN Yunxiang, XIANG Huachun, GAO Yangjun, ZHAO Jing. Multi-Objective Spare Parts Scheduling Method in Wartime Considering Lateral Transshipment and Emergency Distribution [J]. Acta Armamentarii, 2023, 44(3): 816-830.
[10]	HUANG Jun, WU Pengfei, LI Xiaobao, LIU Yue. Formation Recognition and Target Selection of Anti-ship Missile Based on Hough Transform and Optimized K-means Clustering [J]. Acta Armamentarii, 2023, 44(2): 472-483.
[11]	ZHOU Yinfei, ZHANG Lihua, JIA Shuaidong, DAI Zeyuan, LIU Xiang. Automatic Planning of the Shortest Searching Route in Irregular Convex Region for Surface Ship [J]. Acta Armamentarii, 2023, 44(10): 3047-3055.
[12]	CHEN Tong, HU Bin, DI Peng. Multi-state System Reliability Analysis for Ship Power Generation System Based on Markov Reward Model [J]. Acta Armamentarii, 2023, 44(10): 3177-3186.
[13]	YANG Huadong, ZHOU Mo, SUN Haiwen. Integrated Design Method for Warship Platform Maneuver Route and Missile Attack Path [J]. Acta Armamentarii, 2022, 43(S2): 7-12.
[14]	WANG Xiaoqi, ZHAO Yang, ZHANG Jian, WANG Shuo. 3D Ship Model Generation Algorithm Based on Deep Learning [J]. Acta Armamentarii, 2022, 43(S2): 115-119.
[15]	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.