杨华

姓名:杨华

电话:

职称:副教授

邮箱:huayang@hust.edu.cn

个人基本情况

    杨华(Yang Hua,Associate Professor,男,1984年出生,副教授,硕士生导师,湖北省“百人计划”创新人才。

    主要从事高速机器视觉技术及其应用研究工作,在IEEE Sensors Journal、IEEE Sensors Journal、IEEE T-SM、MST 等国际学术期刊及会议发表SCI/EI学术论文30余篇,申请发明专利30余项(10项已经授权)。主持国家自然科学基金面上项目1项,主持湖北省重大专项1项,作为第二负责人参加国家自然科学基金委仪器重大专项1项,IEEE会员,并担任IEEE多个国际学术期刊的审稿人。

主要研究方向

高速机器视觉技术及其应用(视觉算法研究、视觉系统硬件设计、视觉测量PIV仪器研制)

开设课程

留学生(全英文课程):Digital Design

留学生(全英文课程):Machine Vision Algorithmsand Its Application

本科生:高速数字图像处理及应用

近年的科研项目、专著与论文、专利、获奖

科研项目:

1参与国家自然科学基金委仪器重大专项“高超音速流场实时精确测量系统的研制与应用”,

      20141月-201812

2参与广东省引进创新团队项目“智能制造装备新型感知技术研发与产业化团队”

   主要负责其中高速机器视觉算法研究与系统设计,20121月-201612

3主持国家自然科学基金面上基金项目“高超音速流场粒子图像测速示踪机理研究与应用”,

      20151月-201812

4主持湖北省技术创新专项重大项目“TFT-LCD 光学自动检测装备研发”,20171月-201812

荣誉与奖励:

湖北省“百人计划”创新人才

武汉市东湖高新“3551”创新人才

华中科技大学“学术新人奖”

华中科技大学“华中学者”晨星岗

代表性著作:

[1] Hua Yang*,Takeshi Takaki, Idaku Ishii, Simultaneous Dynamics-Based Visual InspectionUsing Modal Parameter Estimation, Journal of Robotics and Mechatronics, 23(1):180-195, 2011.

[2] Hua Yang*,Takeshi Takaki, Idaku Ishii, A Structural Damage Quantification Method forHFR-Video-Based Modal Testing, Journal of System Design and Dynamics, 5(4):624-641, 2011.

[3] Hua Yang*, Qinyi Gu,Tadayoshi Aoyama, Takeshi Takaki, and Idaku Ishii, Dynamics-Based Stereo VisualInspection Using Multidimensional Modal Analysis, IEEE Sensors Journal, Vol.13,No.12, pp.4831-4843, 2013.

[4] Zhengrong Wang, HuaYang, et al. “Super-Resolving IC Images With an Edge-Preserving BayesianFramework”. IEEE Transactions on Semiconductor Manufacturing, 27(27):118-130, 2014.

[5] Shaohua Zhang, Hua Yang*,and Zhouping Yin. “Multiple deep convolutional neural networksaveraging for face alignment”. Journal of Electronic Imaging. 24(3): 033013-13,2015.

[6] Buyang Zhang, Hua Yang*,and Zhouping Yin. “A Region-Based Normalized Cross Correlation Algorithm forthe Vision-Based Positioning of Elongated IC Chips”. IEEE Transactions onSemiconductor Manufacturing. 28(3): 345-352, 2015.

[7] Hua Yang*, LianzhengChen, et al. “Automatic barcode recognition method based on adaptive edgedetection and a mapping model”. Journalof Electronic Imaging. 25.5:053019, 2016.

[8] Shaohua Zhang, HuaYang*, Zhouping Yin. “Transferred Deep Convolutional Neural NetworkFeatures for Extensive Facial Landmark Localization”. IEEE Signal Process. Letter.23(4): 478-482, 2016.

[9] Buyang Zhang, Hua Yang*,Zhouping Yin. “A Spatial-Constraint-based Feature Point Matching Algorithm forthe Positioning of Multiple IC Instances”. IEEE Transactions on SemiconductorManufacturing. 29(2):137-144, 2016.

[10] Hua Yang*, ShijiaoZheng, Jin Lu, Zhouping Yin. “Polygon-Invariant Generalized Hough Transform forHigh-Speed Vision-Based Positioning”. IEEE Transactions on Automation Science andEngineering. 13(3): 1367-1384, 2016.

[11] Shuang Mei, Hua Yang*,and Zhouping Yin. “Unsupervised-Learning-Based Feature-Level FusionMethod for Mura Defect Recognition”. IEEE Transactions on SemiconductorManufacturing. 30(1), 2016.

[12] Yong Lee, Hua Yang*,and Zhouping Yin. “Outlier detection for particle image velocimetry data usinga locally estimated noise variance”. Measurement Science and Technology. 2016.

[13] Shuang Mei, Hua Yang*,and Zhouping Yin. “Discriminative feature representation for imageclassification via multimodal multitask deep neural networks”.  Journal of Electronic Imaging, 2017.

[14] Qianglong Zhong, HuaYang*, and Zhouping Yin. “An optical flow algorithm based on gradientconstancy assumption for PIV image processing”. Measurement Science andTechnology. 2017. 

代表专利:

[1]  杨华一种用于增强激光亮度的光学组件及高频脉冲激光光源, 发明专利,申请号:201310514065.3.

[2]  杨华一种速流场实时精确测量系统,发明专利,申请号:201310693222.1.

[3]  杨华基于局部不变几何特征的广义霍夫变换图像匹配方法,发明专利,申请号:201310331189.8.

[4]  杨华等,一种快速互相关灰度图像匹配方法与装置,发明专利,申请号:201310331842.

[5]  杨华等,一种流场实时精确测量系统,实用新型专利,申请号:201320835250.8.

[6]  杨华等,一种基于图像边缘矢量的匹配方法,发明专利,申请号:201310589166.7.

[7]  杨华等,一种空间分辨率自适应调整的粒子图像测速矢量估计方法,发明专利,申请号:201310626341.5.

[8]  杨华等,一种时间分辨率自适应调整的流场状态测量方法,发明专利,申请号:201310626331.1.

[9]  杨华等,一种用于TFT-LCD缺陷自动检测线的图像采集装置,发明专利,申请号:201410755492.1.

[10]杨华等,一种针对运动目标检测的嵌入式实时高速双目视觉系统,实用新型专利,申请号:201520299953.2.