个人简介

科研成果获奖及专利： 教育部自然科学二等奖 承担的科研项目情况： 目前承担多项科研项目 科研项目 [1] 国家海洋核动力平台防摇摆试验软件开发 [2] 数字化车间用高端数控起重机创新研制 [3] 基于特征的图像去噪方法研究 [4] **OX组件视觉识别系统软件的开发 [5] 嵌入式浑水图像增强系统研制 [6] 山东海阳核电废物处理库控制系统软件的开发 [7] 西部钻探测井公司自动抓取源设备软件的开发 授课信息 数字电路与逻辑设计Ⅰ /2020-2021 /春学期 /56课时 /0.0学分 /04102050.08 半导体物理与器件 /2020-2021 /春学期 /48课时 /0.0学分 /04103010

研究领域

电路与系统 1.图像处理，机器视觉 2.工业智能装备，机器人

1.图像处理，机器视觉 2.工业智能装备，机器人

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

(1) Yu H, and Wang T. A Vision-based Technique for Circle Detection and Measurement Using Look-up Table and Bitwise Center Accumulator[J]. Journal of the Optical Society of America A, optics, image science, and vision, 2017, 34 (3), 415-423. (2) Yu H, Gao J, and Li A. Probability-based non-local means filter for speckle noise suppression in optical coherence tomography images[J]. Optics Letters, 2016, 41(5), 994-997. (3) Yu H, and Li A. Real-Time Non-Local Means Image Denoising Algorithm Based on Local Binary Descriptor[J]. KSII Transactions on Internet and Information Systems, 2016, 10(2), 825-836. (4) Yu H, Zhao L, Wang H. An Efficient Edge-based Bilateral Filter for Restoring Real Noisy Image [J]. IEEE Transactions on Consumer Electronics, 2011, 57 (2). 682–687. (5) Yu H, Zhao L, Wang H. Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain [J]. IEEE Transactions on Image Processing, 2009, 18 (10), 2364–2369. (6) Yu H, Zhao L, Wang H. An Efficient Procedure for Removing Random-Valued Impulse Noise in Images[J]. IEEE Signal Processing Letters, 2008, 15 (12), 922–925. [1] 余汉成,余汉成,余汉成等.An adaptive iterative algorithm for motion deblurring based on salient intensity prior.KSII Trans. Internet Inf. Syst.,2018 [2] 余汉成,余汉成,余汉成等.A fast approach to texture-less object detection based on orientation compressing map and discriminative regionalweight.Algorithms,2018 [3] 余汉成,,等.Vision-based technique for circle detection and measurement using lookup table and bitwise center accumulator.JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION,2017