信 息 科 学 与 工 程 学 院

College of Information Science and Engineering

厚德笃志,勤思敏行

基本信息

basic information

  • 所在院系(中心): 电子工程系
  • 学历: 博士
  • 政治面貌: 九三学社
  • 邮件地址: bingzh@ouc.edu.cn
  • 办公电话: 0532-66781386
  • 办公室: 山东省青岛市崂山区松岭路238号中国海洋大学信息科学与工程学院

郑 冰

Zheng Bing

课程介绍

course introduction

海洋观测系统,光电探测技术与系统

教育及工作经历

education and work experience

1987-1991 青岛海洋大学 电子学与信息系统 学士
1992-1995 青岛海洋大学 海洋物理 硕士
2010-2013 中国海洋大学 计算机应用 博士
1995-2006 中国海洋大学电子工程系 讲师/副教授
2005-2006 University of Westminster 访问学者
2006-至今 中国海洋大学电子工程系 教授

研究方向

research direction

水下智能探测与成像,水下通信系统

研究项目

research project

1. 主持项目
(1) 基于前向散射光原理的水下光通信关键技术研究201822014, 中央高校基本科研业务费项目, 2018-2021, 100 万, 主持
(2) 海洋中小型浮游生物原位光学观测关键技术研究41776113, NSFC, 2018-2021, 主持, 70万
(3) 海洋****主动光场干预与****关键技术研究17-H863-05-ZT-001-022-02, 军委科技委项目, 2017-2018, 主持, 150万
(4) 海洋浮游动物原位探测与分析系统201562023, 中央高校基本科研业务费项目, 2015-2017, 主持, 100 万
(5) 基于混合光场的水下目标三维信息探测系统合作研究, 国合专项, 2012-2015, 主持, 100万
(6) 水下集束光、激光差频扫描三维视觉技术研究2010AA09Z205, 863, 2010-2013, 主持, 242万
(7) 海洋环境测量系统(S4海流计)总装预研, 2009-2009, 主持, 21万
(8) 水下非均匀光场中的目标探测研究40776059, NSFC, 2008-2010, 主持, 44万
(9) 水下集束光、激光差频扫描三维视觉技术研究2006AA09Z230, 863, 2006-2008, 主持, 100万
(10) 海底管道外探测装置及其检测技术2004AA602010, 863, 2004-2005, 主持, 111万
(11) 海底管道外探测装置及其检测技术2001AA602022, 863, 2001-2003, 主持, 132万

2. 参加项目
(1) ****水下光通信关键技术研究17-H863-05-ZT-003-009-02, 军委科技委项目, 2017-2018,60万,参加
(2) 基于深度学习和双目视觉的深度图像估计及水下图像复原61701463, NSFC, 2018-2021, 参加
(3) 浑浊水体中多照明模式下成像优化处理方法研究61571407, NSFC, 2015-2019, 参加
(4) 水下高精度三维实时检测分析系统合作研发2014DFA10410, 国合专项, 2014-2017, 参加
(5) ******2008AA7010216, 863, 2008, 参加
(6) 水下图像的后向散射噪声抑制及其盲复原方法研究60772058, NSFC, 参加
(7) 6000米海底有缆观测与采样系统—电视抓斗的研制2001AA612030,2001-2005,参加, 549万

学术成果

academic achievements

1. 水下目标光学探测
水下探测是海洋观测技术的重要内容,也是海洋立体监测网的主要组成部分,在海洋开发、军事国防以及经济发展等各方面都具有举足轻重的地位。光在水下传输过程中所受到的散射和吸收,将直接影响探测系统的作用距离和成像质量。因此如何抑制散射、提高能量能见度和衬度能见度是水下光学观测的核心问题。
本人及所负责的水下光学探测实验室长期从事水下目标光学特性、水下探测光场分布、水下目标三维探测等方面的研究,连续承担了国家八五、九五、十五、十一五863 课题(海底管道外探测装置及其检测技术,编号:2001AA602022、2004AA602010;水下集束光、激光差频扫描三维视觉技术研究,编号:2006AA09Z230、2010AA09Z205)以及国家自然科学基金项目(水下非均匀光场中的目标探测研究,编号:40776059)和国家国际科技合作专项项目(基于混合光场的水下目标三维信息探测系统合作研究,编号:2012DFG22080),针对水下高速运动目标实时观测所需要解决的大范围、远距离观测的要求,本人提出了水下层级光场探测方法,在用几何分离法抑制散射的同时,通过科学布局探测范围内光能量的空间分布,达到提高能量能见度和衬度能见度的目的,经测试系统探测距离达到2 倍能见度,视角达到70°,指标得到军方认可。
另外,在海洋生物原位探测方面与美国Scripps 海洋研究所(合作教授:Jules Jaffe)和英国阿伯丁大学(合作教授:John Watson)等开展了相应的合作研究,主持了国家自然科学基金项目(海洋中小型浮游生物原位光学观测关键技术研究,编号:41776113),研制了海洋浮游生物原位探测系统,相关研究成果处于国际先进水平。

2. 水下视觉信息处理
水下视觉探测技术因其能够提供更高的空间分辨率和更直观的图像信息,对于海洋资源开发、生物多样性等方面的原位观测与监测,具有重要的研究意义和应用前景。然而,由于水体本身具有高吸收、强散射等特点,使得水下视觉探测难度远高于大气视觉探测。尤其在我国近海海域及河流中,由于受到泥沙及其他悬浮粒子的干扰,水质更加浑浊,水下图像/视频呈现出极强的强噪声和低质量特点。
为此,团队开展了逻辑随机共振水下视觉弱目标检测研究,并分别以第一作者和通讯作者在中科院JCR 分区Top 期刊“Optics Letters” 和“Optics Express” 发表学术论文,该工作一经发表就受到国内外相关研究者关注,被Yahoo!Xtra、Phys.org、Digital Journal、ITbriefing、Market Watch 等多家科研网站及媒体报道。
另外,针对海洋浮游生物的原位探测与分析,本人还开展了浮游生物图像识别相关的工作,并作为通讯作者在生物信息学国际权威会议International Conference on Bioinformatics 发表题为“Automatic plankton image classification combining multiple view features via multiple kernel learning” 的学术论文,该工作得到了评审专家的高度认可,并被认为该领域里程碑工作,因此获得了InCoB 2017 最佳论文金奖并被推荐收录到中科院JCR 二区期刊BMC Bioinformatics。

论文专利

publications and patents

1. 期刊论文
[1] Haiyong Zheng, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. Automatic plankton image classification
combining multiple view features via multiple kernel learning. BMC Bioinformatics, 2017, DOI: 10.1186/s12859-017-1954-8.
[2] Yan Wang, Na Li, Zongying Li, Zhaorui Gu, Haiyong Zheng*, Bing Zheng, Mengnan Sun. An imaging-inspired no-reference
underwater color image quality assessment metric. Computers and Electrical Engineering, 2017, DOI: 10.1016/j.compeleceng.2017.12.006.
[3] Mengnan Sun, Bing Zheng*, Bo Peng, Yan Wang, Haiyong Zheng. A target detectability assessment metric for the underwater
electro-optic imaging system. Optics and Laser Technology, 2017, DOI: 10.1016/j.optlastec.2017.10.028.
[4] Zhibin Yu, Yubo Wang, Bing Zheng*, Haiyong Zheng, Nan Wang, Zhaorui Gu. Underwater inherent optical properties estimation
using a depth aided deep neural network. Computational Intelligence and Neuroscience, 2017, DOI: 10.1155/2017/8351232.
[5] Nan Wang, Haiyong Zheng*, Bing Zheng. Underwater image restoration via maximum attenuation identification. IEEE Access, 2017, DOI: 10.1109/ACCESS.2017.2753796.
[6] Nan Wang, Bing Zheng*, Haiyong Zheng, Zhibin Yu. Feeble object detection of underwater images through LSR with delay loop. Optics Express, 2017, DOI: 10.1364/OE.25.022490.
[7] Haiyong Zheng*, Nan Wang, Zhibin Yu, Zhaorui Gu, Bing Zheng. Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species. IET Image Processing, 2017, DOI: 10.1049/iet-ipr.2017.0127.
[8] Bing Zheng, Nan Wang*, Haiyong Zheng, Zhibin Yu, Jinpeng Wang. Object extraction from underwater images through logical stochastic resonance. Optics Letters, 2016, DOI: 10.1364/OL.41.004967.
[9] Guoyu Wang*, Bing Zheng, Fei Fei Sun. Estimation-based approach for underwater image restoration. Optics Letters, 2011, DOI: 10.1364/OL.36.002384.
[10] 徐洪梅*, 张志刚, 郑冰. 水下非均匀光场的分布特性. 光子学报, 2010.
[11] 郑冰*, 吉光学, 付民. 浑水中非均匀光场探测图像方法. 光子学报, 2007.

2. 会议论文
[1] Haiyong Zheng, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. Automatic plankton image classification combining multiple view features via multiple kernel learning. International Conference on Bioinformatics (InCoB), 2017, Best Paper Awards of BMC Track [Gold].
[2] Chao Wang, Zhibin Yu, Haiyong Zheng*, Nan Wang, Bing Zheng. CGAN-Plankton: Towards large-scale imbalanced class generation and fine-grained classification. IEEE International Conference on Image Processing (ICIP), 2017.
[3] Jialun Dai, Zhibin Yu, Haiyong Zheng*, Bing Zheng, Nan Wang. A hybrid convolutional neural network for plankton classification. The 13th Asian Conference on Computer Vision (ACCV ) Workshops, Workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA), 2016, DOI: 10.1007/978-3-319-54526-4_8.
[4] Yafei Zhu, Lin Chang, Jialun Dai, Haiyong Zheng*, Bing Zheng. Automatic object detection and segmentation from underwater images via saliency-based region merging. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485598.
[5] Lin Chang, Ruchen Wang, Haiyong Zheng*, Jialun Dai, Bing Zheng. Phytoplankton feature extraction from microscopic images based on SURF-PCA. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485699.
[6] Zongying Li, Zhaorui Gu, Haiyong Zheng, Bing Zheng*, Jingpeng Liu. Underwater image sharpness assessment based on selective attenuation of color in the water. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485695.
[7] Zhaorui Gu, Ruchen Wang, Jialun Dai, Haiyong Zheng*, Bing Zheng. Automatic searching of fish from underwater images via shape matching. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485597.
[8] Hongkun Liu, Jialun Dai, Ruchen Wang, Haiyong Zheng*, Bing Zheng. Combining background subtraction and three-frame difference to detect moving object from underwater video. OCEANS MTS/IEEE Shanghai, 2016, DOI:
10.1109/OCEANSAP.2016.7485613.
[9] Jingpeng Liu, Bing Zheng*, Lifeng Zhao, Zhaoyang Gong. A design of underwater wireless laser communication system based on PPM modulating method. OCEANS MTS/IEEE Washington, 2015, DOI: 10.23919/OCEANS.2015.7404480.
[10] Haiyong Zheng*, Xue Sun, Bing Zheng, Rui Nian, Yangfan Wang. Underwater image segmentation via dark channel prior and multiscale hierarchical decomposition. OCEANS MTS/IEEE Genova, 2015, DOI: 10.1109/OCEANS-Genova.2015.7271450.
[11] Mengnan Sun, Bing Zheng*. Paying the way of FPV-ROV with a function of GSM-GPS reverse positioning. Advanced Technologies in Ad Hoc and Sensor Networks, 2014, DOI: 10.1007/978-3-642-54174-2_34.
[12] Mengnan Sun, Bing Zheng*, Lifeng Zhao, Jia Yu. Paying a way of the ROV equipped with a function of underwater laser communication. OCEANS MTS/IEEE Taipei, 2014, DOI: 10.1109/OCEANS-TAIPEI.2014.6964361.
[13] Mengnan Sun, Bing Zheng*, Lifeng Zhao, Xueqin Zhao, Feifei Kong. A design of the video transmission based on the underwater laser communication. OCEANS MTS/IEEE St. John’s, 2014, DOI: 10.1109/OCEANS.2014.7003241.
[14] Yuejiao He, Bing Zheng*, Yuzhen Ding, Hua Yang. Underwater image edge detection based on K-means algorithm. OCEANS MTS/IEEE St. John’s, 2014, DOI: 10.1109/OCEANS.2014.7003230.
[15] Zitao Wang, Bing Zheng, Haiyong Zheng. Numerical simulation of underwater inhomogeneous illumination. OCEANS MTS/IEEE Bergen, 2013, DOI: 10.1109/OCEANS-Bergen.2013.6607974.
[16] Zitao Wang, Bing Zheng*, Weijian Tian. New approach for underwater image denoise combining inhomogeneous illumination and dark channel prior. OCEANS MTS/IEEE San Diego, 2013, DOI: 10.23919/OCEANS.2013.6741111.
[17] Bing Zheng*, Haiyong Zheng, Lifeng Zhao, Yongjian Gu, Lijun Sun, Yuting Sun. Underwater 3D target positioning by inhomogeneous illumination based on binocular stereo vision. OCEANS MTS/IEEE Yeosu, 2012, DOI: 10.1109/OCEANS-Yeosu.2012.6263373.
[18] Haiyong Zheng*, Bing Zheng, Guangrong Ji, ZhongwenGuo, Yuting Sun. Image enhancement of underwater target detection by inhomogeneous illumination. OCEANS MTS/IEEE Yeosu, 2012, DOI: 10.1109/OCEANS-Yeosu.2012.6263374.
[19] Bing Zheng*, Wenbo Li, Haiyong Zheng, Guangqiang Ji, Lifeng Zhao. Depth measurement of underwater target based on laser frequency-difference scanning. OCEANS MTS/IEEE Hampton Roads, 2012, DOI: 10.1109/OCEANS.2012.6405074.
[20] Bing Zheng*, Hao Zhang, Haiyong Zheng, T. Aaron Gulliver. Underwater imaging based on inhomogeneous illumination. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), 2011, DOI: 10.1109/PACRIM.2011.6033010.
[21] Haiyong Zheng*, Guangrong Ji, Bing Zheng, Hao Zhang, Gulliver, T.A. Harmful Algal Bloom recognition based on microscopic images. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim), 2011, DOI: 10.1109/PACRIM.2011.6033006.
[22] Haiyong Zheng*, Guangrong Ji, Bing Zheng. An approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and PDE. OCEANS IEEE Sydney, 2010, DOI: 10.1109/OCEANSSYD.2010.5603529.
[23] Bing Zheng*, Jialin Hou, Guoyu Wang. An approach of 3D information real-time display for detection of underwater target based on laser digital scanning grid. OCEANS MTS/IEEE Quebec, 2008, DOI: 10.1109/OCEANS.2008.5151858.
[24] Bing Zheng*, Song Guo, Guoyu Wang. An approach for real-time display of 3-D information of underwater target. OCEANS MTS/IEEE Kobe, 2008, DOI: 10.1109/OCEANSKOBE.2008.4530920.
[25] Bing Zheng*, Guoyu Wang, Min Fu. An approach for underwater target detection by inhomogeneous illumination. OCEANS IEEE Aberdeen, 2007, DOI: 10.1109/OCEANSE.2007.4302242.

3. 专利
(1)基于逻辑随机共振的浑浊水质成像目标检测系统及方法 201610913278.7 发明专利(实审)
(2)基于多特征融合卷积神经网络的浮游生物图像分类方法 201610912684.1 发明专利(实审)
(3)非均匀大光场目标图像探测装置及方法 201510105238.5 发明专利
(4)非均匀照明探测目标图像的方法及装置 200610042355.2 发明专利
(5)水下激光正线扫描成象装置及方法 02109973.1 发明专利

4. 奖励
山东高等学校优秀科研成果奖, 二等,“三维成像系统建模及人造目标识别方法的研究” 2004

研究生招生条件

postgraduate admissions conditions

中国海洋大学智能感知与信息系统实验室,包含水下探测与成像实验室、水下光通信实验室和人工智能与水下视觉实验室。拥有一流的科研设施和配套设备,自由活泼的学术氛围,积极向上的团队风格,欢迎有志于水下探测、水下通信、人工智能、新型传感器、水下机器人研究的同学们攻读博士和硕士学位。

报考要求:
1、良好的数理基础,优秀的英语能力
2、扎实的电子与计算机基础
3、欢迎机械、自动化背景,动手能力强的同学加盟