易怀安

个人简介

易怀安，男，1972年11月出生，博士，教授，硕士生导师。长期从事机器视觉在机械工程领域的检测应用研究，先后主持和参与国家自然科学基金、广西科技计划项目多项，以第一作者或通信作者在国内外重要期刊上发表学术论文40余篇，拥有发明专利3项、实用新型专利4项，培养的硕士研究生多人分别被国防科技大学、湖南大学、大连理工大学、西安电子科技大学、合肥工业大学、华南师范大学等高校博士录取。

联系方式

手机：18278386857 邮箱：yihuaian@126.com

主要学习和工作经历

2013.09-2017.06 湖南大学，机械与运载工程学院，机械工程专业，博士

2005.09-2008.04 昆明理工大学，机电学院，材料加工工程专业，硕士

1993.09-1997.07 湘潭大学，机械系，塑性成形工艺与设备专业，学士

2017.07 - 至今 桂林理工大学，机械与控制工程学院任教

2009.09-2013.07 怀化学院，艺术设计系任教

2008.09-2009.08 邵阳学院，机械与能源工程系任教

1997.08-2005.08 怀化职业技术学院，机械系任教

研究方向

机器视觉，人工智能，数字化制造

主要论文

(1) Yi, HA*; Lai, PH and Lai, PH. Visual reconstruction of milling workpiece surface topography based on phase shifting and complementary gray code[J], OPTICS AND LASERS IN ENGINEERING, 2025,184.

(2) Shang, CH; Lieping, Z; (...); Yi, HA*. Surface roughness measurement using microscopic vision and deep learning[J], FRONTIERS IN PHYSICS, 2024,12.

(3) Yi, H*; Song, K and Song, XR. Watermelon Detection and Localization Technology Based on GTR-Net and Binocular Vision[J]. IEEE SENSORS JOURNAL, 2024(12): 19873-19881.

(4) Song, K; Yi, HA*; (...); Huang, JF. Based on CBB-yolo rusted workpiece surface roughness detection[J], JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2024, 46 (3) :7379-7388

(5) Yi, HA*; Wang, H; (...); Huang, JF. Changeable environment visual detection of grinding surface roughness based on lightweight network[J], Nondestructive Testing and Evaluation, 2024, 2341182.

(6) Huaian Yi*, Jiefeng Huang, Kai Shi, et al. A visual measurement method for grinding surface roughness combining filter and branch convolution network[J]. Nondestructive Testing and Evaluation, 2024, 2400230

(7) Huaian Yi, Chuhan Shang, Simulation and modeling of grinding surface topography based on fractional derivatives[J]. Measuremen, 2024, 228: 114324.

(8) Huaian Yi*, Jiefeng Huang, Aihua Shu, et al. Recognition of grinding surface roughness grade based on adversarial domain adaptation under variable illumination[J]. Surface Topography: Metrology and Properties, 2024,12(1): 015003.

(9) Huaian Yi*, Ziqiang Feng, and Aihua Shu. Grinding Surface Roughness Measurement Combined with Simulation Data and Transfer Learning[J]. Advanced Theory Simulations. 2024, 7(5).

(10) Huaian Yi*, Xiao Lv, Aihua Shu, et al. Few-shot detection of surface roughness of workpieces processed by different machining techniques[J]. Measurement Science and Technology, 2024, 35(4).

(11) Ziqiang Feng, Huaian Yi*, Aihua Shu, et al. Simulation of grinding surface topography considering wheel wear and wheel vibration[J]. The International Journal of Advanced Manufacturing Technology, 2024, 130(1-2)：459-473

(12) Huang, JF; Yi, HA; (...); Song, K. A GRINDING SURFACE ROUGHNESS CLASS RECOGNITION COMBINING RED AND GREEN INFORMATION[J], METROLOGY AND MEASUREMENT SYSTEMS, 2023, 30 (4):689-702

(13) Xiao Lv, Huaian Yi*, Runji Fang, et al. VISUAL DETECTION OF MILLING SURFACE ROUGHNESS BASED ON IMPROVED YOLOV5[J]. METROLOGY AND MEASUREMENT SYSTEMS, 2023, 30(3): 531–548

(14) Jiefeng Huang, Huaian Yi*, Aihua Shu, et al. Visual measurement of grinding surface roughness based on feature fusion[J]. Measurement Science and Technology, 2023, 34: 105019 .

(15) Kun Song, Huaian Yi*, Zhang Lieping, et al. Multi-angle 3D measurement of small workpieces using EDMS algorithm[J]. Measurement Science and Technology, 2023,34: 105006 .

(16) Chen, Yonglun, Yi, Huaian*, Liao, Chen, et al. Roughness classification detection of Swin-Transformer model based on the multi-angle and convertible image environment[J]. Nondestructive Testing and Evaluation, 2023. 38 (3):394-411.

(17) Jinzhao Su, Huaian Yi*, Lin Ling, et al. Multi-object surface roughness grade detection based on Faster R-CNN[J]. Measurement Science and Technology, 2023, 34(1).

(18) Fang, Runji, Yi, Huaian*, Shu, Aihua, et al. llumination-robust milling surface roughness machine vision inspection based on MAML plus plus network[J]. OPTICAL ENGINEERING, 2022, 61(12): 124105.

(19) Runji Fang, Huaian Yi*, Aihua Shu, et al. Evaluation of grinding surface roughness based on gradient similarity and color similarity[J]. Surface Topography: Metrology and Properties, 2022, 10(3).

(20) Runji Fang, Huaian Yi*, Shuai Wang, et al. Classification and inspection of milling surface roughness based on Broad Learning system[J]. Metrology and Measurement Systems, 2022, 29(3): 483-503.

(21)易怀安*,方润基,舒爱华,等.小样本问题下的铣削表面粗糙度测量[J].激光与光电子学进展, 2022，59(23): 2324001(1-7).

(22) Yi Huaian*, Fang Runji, Wang Shuai, et al. Research on the applicability of color vision-based roughness inspection method[J]. Surface Topography: Metrology and Properties, 2022, 10(2): 025016.

(23) Jinzhao Su, Huaian Yi*,Lin Ling, Shuai Wang, et al. A surface roughness grade recognition model for milled workpieces based on deep transfer learning[J]. Measurement Science and Technology, 2022, 33(4): 045014.

(24) Yonglun Chen, Huaian Yi,* et al. Visual measurement of milling surface roughness based on Xception model with convolutional neural network [J]. Measurement ,2021,110217.

(25) Xinjia Zhao, Huaian Yi*, Yonglun Chen, et al. Development and evaluation of a color-image-based visual roughness measurement method with illumination robustness [J]. Journal of the Optical Society of America A -OPTICS IMAGE SCIENCE AND VISION, 2021,38(3): 369-377.

(26) Yi Huaian*, Zhao XinJia, Tang Le, et al. Measuring grinding surface roughness based on singular value entropy of quaternion [J]. Measurement Science and Technology, 2020, 115006(31) :1-11.

(27)易怀安*, 赵欣佳, 唐乐.等. 基于彩色图像奇异值熵指标视觉测量磨削表面粗糙度[J]. 中国机械工程, 2021,32(13):1577-1583.

(28) Yi H A, Liu J*, Ao P, et al. Visual method for measuring the roughness of a grinding piece based on color indices[J]. Optics Express, 2016, 24(15): 17215-17233.

(29) Yi H A, Liu J*, Lu E H, et al.. Measuring grinding surface roughness based on the sharpness evaluation of colour images[J]. Measurement Science and Technology, 2016, 27(2): 1-14.

(30)易怀安, 刘坚*, 路恩会. 基于图像清晰度评价的磨削表面粗糙度检测方法[J].机械工程学报, 2016, 52(16): 15-21.

主要专利

（1）易怀安，赵欣佳，舒爱华 一种基于四元数奇异值熵指标的磨削表面粗糙度检测方法[发明专利].中国, 专利号：ZL 2019 1 1092203.7，授权公告号：CN 110793472 B

（2）易怀安，熊德伟，赵欣佳，舒爱华.一种粗糙度机器视觉检测定位移动装置[发明专利] .中国, 专利号：ZL 2018 1 1449568.6，授权公告号：CN 109373941 B

（3）易怀安，宋坤，宋欣茹，舒爱华，黄杰锋.一种基于双目视觉系统的多视觉工件尺寸测量方法[发明专利]. 申请号：2023105290461

主要科研项目

（1）广西科技计划项目-面上项目，2025GXNSFAA069694，磨削表面双目视觉三维重建及其粗糙度测量的关键技术研究，2025.3-2028.2，10万元，在研，主持。

（2）国家自然科学基金地区基金项目，52065016，基于颜色信息的表面粗糙度机器视觉检测机理及预测模型研究，2021.1-2024.12，35万元，已结题，主持。

（3）广西科技计划项目-面上项目，2018GXNSFAA138154，表面粗糙度机器视觉测量的理论与关键技术研究，2018.7-2021.7，12万元，已结题，主持。

（4）广西学位与研究生教育改革项目，JGY2024174，新工科背景下基于学科交叉多元协同融合的研究生培养模式探索与实践，2024.7-2026.6，3万元，在研，主持。

（5）广西科技计划项目-广西重点研发计划，桂科AB25069161，漓江流域喀斯特石漠化山地生态修复与景观提升关键技术研究与示范，2025.3-2028.2，11.6万元，在研，参与（排名第三）。

（6）广西科技计划项目-广西重点研发计划，桂科AB25069264，基于边缘智能的压敏电阻表面缺陷检测系统研发及应用示范，2025.3-2028.2，17.5万元，在研，参与（排名第四）。

（7）广西科技计划项目-面上项目，2021GXNSFAA220102，蔗芽位姿识别方法及定向投种机理研究，2021.12-2024.12，10万元，已结题，参与（排名第三）。

（8）国家自然科学基金面上项目，71271018，基于多变量贝叶斯控制图和统计约束的质量控制与设备维护集成经济性优化研究，2013-01至2016-12，53万元，已结题，参与（排名第三）。

（9）汽车车身先进设计制造国家重点实验室自主探索项目，71675001，基于机器视觉的白车身钣金件表面质量检测技术研究，2017-01至2019-10，15万元，已结题，参与（排名第三）。

主要承担课程

图像处理与机器视觉、理论力学