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图像处理与计算机视觉

发布日期:2019-08-25  点击:[]

方向名称

图像处理与计算机视觉

概述

该方向依托模式识别与智能系统研究所、信息科学与工程学院和省网络环境智能计算技术重点实验室,利用人工智能、模式识别等技术,开展基于图像和视频的目标识别、产品缺陷检测和精密测量、特定场景的隐患检测、机器人导航和视觉伺服控制等课题研究,涉及电力、汽车、医疗、化工等多个领域,有效解决了许多企业的技术难题。

学术带头人

李金屏

团队成员

刘明军

韩延彬

牛四杰

夏英杰

李志明,黄艺美,厉广伟

近五年省部级级以上科研、教学成果奖

1、李金屏,黄艺美,韩延彬.机器人技术在输变电系统隐患检测与排除中的应用,2018年,吴文俊人工智能科学技术奖,三等奖

2、李金屏,刘明军,董吉文,黄艺美,夏英杰,韩延彬,李恒建,李志明,厉广伟.基于巡检机器人的智能化设备故障视频监测系统. 2015年,中国石油和化工自动化行业科学技术奖,一等奖

3、李金屏,黄艺美,夏英杰,刘明军,厉广伟,韩延彬,李志明,李恒建.基于巡检机器人的特殊地域设备故障和实时报警的智能视频监测系统. 2014年,吴文俊人工智能科学技术奖,二等奖

近五年代表性科研项目(省部级以上科研项目、50万以上横向项目)

1、李金屏,山东省重大科技创新工程(第二批),复杂工件高精度非接触形位、尺寸及缺陷综合检测技术,2017.7-2019.12,300万元

2、李金屏,山东省科技重大专项(新兴产业),基于脑机接口和多源数据反馈技术的康复服务机器人开发及示范应用,2015.7-2017.12,300万元(子课题)

3、李金屏,企业合作项目,基于数字媒体分析技术的电力系统安全保障技术研发,2015.09-2019.10,117万

4、牛四杰,国家自然科学基金青年项目,基于OCT图像视网膜病变分析的若干关键问题研究,2017.01-2020.12,26万元

5、牛四杰,中国博士后基金面上项目,多模型协同学习的视网膜图像分割方法及应用研究, 2017.2-2019.2,5万元

6、牛四杰,山东省自然科学基金青年基金,基于变分与深度网络协同学习的OCT视网膜病变图像分割方法研究,2017.8-2019.12,12万

7、牛四杰,山东省博士后创新基金,联合深度特征与变分模型的视网膜病变分割算法研究,2017.7-2019.2,5万

近五年代表性学术论文、专著

1.逄增治,史建杰,尹建芹,朱利民,李金屏.基于目标形态特征的工件自动分割方法.北京邮电大学学报(自然科学版),2019年

2.王红艳,朱利民,张潘杰,李金屏.基于SIFT算子外轮廓配准的活塞侧面缺陷检测.西安电子科技大学学报,2019年

3.Dou Yimin, Yu Xiangru, Li Jinping. Feature GANs: A model for Data Enhancement and Sample Balance of Foreign Object Detection in High Voltage Transmission Lines. CAIP2019

4.Jiaying Ren, Yimin Dou, Jinping Li. Fighting Detection Based on Analysis of Individual’s Motion Trajectory. ICIG2019

5.Qinghao An, Yanbin Han, Jinping Li and Shouyin Lu. Human-computer Interaction Nursing System and Related Algorithms for Severely Paralyzed Patients. ICARCV2018.

6.Panjie ZHANG, Hongyan WANG, Wei CHENG, Jinping LI*, Accurate Edge Localization of Complex Workpiece Based on Coarse-to-fine Principle. CISP-BMEI 2018.

7.Kusuma Wardhani Mega, Xiangru Yu, Jinping Li. Comparative analysis of color edge detection for image segmentation. ICCPR2018.

8.Shi Jianjie, An Qinghao, Li Jinping. Button Location and Recognition Method for Elevator Based on Artificial Mark and Geometric Transformation. IWPR2018.

9.Zheng Xiunan, Zengzhi Pang, Qingtao Hou, Jinping Li, Detection of zero degree belt loss in radial tire based on multiscale Gabor transform.IWPR2018.

10.Li Jinping, Guo Yukun, Han Yanbin. MCSHM: A Simple and Practical Method for Moving Objects Detection in Dynamic Scenes. CAC2017.

11.Yu Xiangru, Guo Yukun, Li Jinping, Cai Fudong. An Image Patch Matching Method Based on Multi-feature Fusion. CISP-BMEI 2017.

12.马丽文,郭玉坤,李金屏.基于隐式曲线族的车辆违章检测算法.西安电子科技大学学报, 2016, 43(2):147-152.

13.郭玉坤,马丽文,李金屏.妇科医学显微图像中乳酸杆菌的检测和统计分析.数据采集与处理,2015,30(5): 1062-1069.

14.王杰,蒋明敏,花晓慧,鲁守银,李金屏.双目视觉系统中利用极线几何约束的投影直方图匹配跟踪算法.智能系统学报, 2015, 10(5):775-782.

15.Li Jinping, Hou Wendi, Han Yanbin, Yin Jianqin. Crack Detection in Tread Area Based on Analysis of Multi-scale Singular Area. Communications in Computer and Information Science 546, (Springer), 2015.

16.韩延彬,刘弘.一种基于疏散路径集合的路径选择模型在人群疏散仿真中的应用研究[J].计算机学报, 2018, 41(12):19-35.

17.Kun Gao, Wenwen Kong, SijieNiu*, Dengwang Li, Yuehui Chen, Automatic retinal layer segmentation in SD-OCT images with CSC guided by previous B-scan structure characteristics, 4th International Conference on Cloud Computing and Security, accepted, 2018

18.RongbinXu, SijieNiu*, Kun Gao, Yuehui Chen, Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT images, 2018 International Conference on Intelligent Computing, accepted, 2018

19.SijieNiu, Qiang Chen, Luis de Sisternes, Theodore Leng and Daniel L. Rubin. Automated detection of foveal center in SD-OCT images using the saliency of retinal thickness maps, Medical Physics, 44(12): 6390-6403, 2017.12. (JCR三区, WOS:000417919000027, IF=2.617)

20.SijieNiu, Chenchen Yu, Qiang Chen*, Songtao Yuan, Jiang Lin, Wen Fan, Qinghuai Liu.Multimodality analysis of Hyperreflective Foci and Hard Exudates in Patients with Diabetic Retinopathy. Scientific Reports, 2017.5.8, 7(1):1568, doi:10.1038/s41598-017-01733-0. (JCR 二区,WOS:000400874500008 , IF=4.259)

21.SijieNiu, Qiang Chen*, Luis de Sisternes, ZexuanJi, Zeming Zhou, Daniel L. Rubin.Robust noise region-based active contour model via local similarity factor for image segmentation. Pattern Recognition, 2017, 61: 104–119. (JCR二区, WOS:000385899400008, IF: 4.582,2016.7.14)

22.SijieNiu, Luis de Sisternes, Qiang Chen, Daniel L. Rubin, Theodore Leng. Fully automated prediction of geographic atrophy growth using quantitative spectral-domain optical coherence tomography biomarkers. Ophthalmology, 2016, 123(8): 1737-1750. (JCR一区SCI WOS:000380754200031, IF: 8.204,2016-06-01)

23.SijieNiu, Luis de Sisternes, Qiang Chen, Theodore Leng, and Daniel L. Rubin. Automated geographic atrophy segmentation for SD-OCT images using region-based C-V model via local similarity factor. Biomedical Optics Express, 7(2): 581-600, 2016. (JCR二区SCI,索引号: WOS:000369247000029, IF: 3.337,2016-01-20)

24.SijieNiu, Luis De Sisternes, Qiang Chen, Theodore Leng, Daniel L Rubin. Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement. Investigative Ophthalmology Visual Science, 56(7):2839, 2015. (中科院JCR二区, WOS:000362882207003, IF: 3.303,2015-06-08)

25.Xia Y , Yu X , Chen R , et al. A method of automatic recognition for answer sheet[C]// Third International Workshop on Pattern Recognition. 2018.

26.Li Z , Zhang J , Li J , et al. Modeling and simulation of a novel susceptor composed of two materials in MOVPE reactor[J]. Journal of Crystal Growth, 2014, 402:175-178.

近五年组织国际学术会议

1、2018 The 3rdInternational Workshop on Pattern Recognition, 2018.5.26-28,济南.

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