黄剑华

博士、教授
哈尔滨工业大学模式识别与智能系统研究中心

研究方向

模式识别

字符识别与版面分析

医学图像处理

人体运动智能

联系方式

办公地址：哈尔滨工业大学新技术楼910室

电子邮箱：jhhuang@hit.edu.cn

个人简介

黄剑华博士、教授，哈尔滨工业大学计算机科学与技术学院模式别研究中心教师。作为负责人先后承担国家自然科学基金项目2项，省部委基金项目、国际合作项目等多项，其成果获部级科学进步二等奖1项，三等奖2项，省科技进步一等奖1项，发表论文40余篇。主要从事模式识别、字符识别与版面分析、医学图像处理、人体运动智能等方向的研究。博士、教授，作为负责人先后承担国家自然科学基金项目2项，省部委基金项目、国际合作项目等多项，其成果获部级科学进步二等奖1项，三等奖2项，省科技进步一等奖1项，发表论文40余篇。

教育及工作经历

1989年，获哈尔滨工业大学电气工程系信息显示处理与识别专业，工学学士学位

1992年，获哈尔滨工业大学电气工程系模式识别与智能控制专业，工学硕士学位

2007年，获于哈尔滨工业大学计算机科学与技术学院计算机应用专业，工学博士学位

1994-2000年，任哈尔滨工业大学计算机学院讲师

2000-2008年，任哈尔滨工业大学计算机学院副教授

2008-现在，任哈尔滨工业大学计算机学院教授

部分科研项目

2009年国家自然基金“基于彩超图像序列中血流信息分析的癌症识别方法研究”

2009年哈尔滨市科技创新人才专向资金“基于视频挖掘方法的彩色超声图像血流信息分析技术的研究”

2006年国家自然基金“基于超声的早期乳腺癌计算机辅助诊断关键技术研究”

2005年哈尔滨市科技攻关“低功耗高精度指纹识别模块及指纹锁的开发”

2004年黑龙江省科技攻关“短道速滑滑行数据测量及技战术辅助设计”

学术荣誉

“纸币分析技术及在系列产品中的应用”，2009年黑龙江省科学技术一等奖

“短道速滑滑行数据测量技术研究”，2006年国家体育总局科技攻关三等奖

开设课程

数字信号处理
数字图像处理

主要论著

Ding, J., Cheng, H. D., Huang, J., & Zhang, Y. (2015). Multiple-instance learning with global and local features for thyroid ultrasound image classification. International Conference on Biomedical Engineering and Informatics (pp.66-70). IEEE.
Zhang, Y., Huang, J., Li, M., & Song, T. (2014). Novel r-wave detection algorithm of dcg signal. Journal of Tianjin University, 47(1).
Liu, S., Cheng, H. D., Liu, Y., Huang, J., Zhang, Y., & Tang, X. (2014). An effective computer aided diagnosis system using B-Mode and color Doppler flow imaging for breast cancer. Visual Communications and Image Processing (Vol.8, pp.1-4). IEEE.
Liu, Y., Cheng, H. D., Huang, J., Zhang, Y., Tang, X., & Tian, J. (2013). An effective non-rigid registration approach for ultrasound image based on “demons” algorithm. Journal of Digital Imaging, 26(3), 521.
Xian, M., Huang, J., Zhang, Y., & Tang, X. (2013). Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images. IEEE International Conference on Image Processing (pp.2021-2024). IEEE.
Liu, G. J., Tang, X. L., Huang, J. H., Liu, J. F., & Sun, D. (2007). Hierarchical Model-Based Human Motion Tracking Via Unscented Kalman Filter. IEEE, International Conference on Computer Vision (pp.1-8). IEEE.
Tong, X., Liu, S., Huang, J., & Tang, X. (2008). Local relative location error descriptor-based fingerprint minutiae matching. Pattern Recognition Letters, 29(3), 286-294.
Liu, G. J., Tang, X. L., Cheng, H. D., Huang, J. H., & Liu, J. F. (2009). A novel approach for tracking high speed skaters in sports using a panning camera. Pattern Recognition, 42(11), 2922-2935.
Liu, C., Liu, J., Huang, J., & Tang, X. (2010). Monocular video based markerless 3D human pose estimation by using Local Multi-connected Belief Propagation with multi-cue fusion. IEEE International Conference on Intelligent Computing and Intelligent Systems (Vol.1, pp.478-482). IEEE.
Liu, B., Cheng, H. D., Huang, J., Tian, J., Tang, X., & Liu, J. (2010). Probability density difference. Pattern Recognition, 43(6), 2028-2042.
Liu, B., Cheng, H. D., Huang, J., Tian, J., Tang, X., & Liu, J. (2010). Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images. Pattern Recognition, 43(1), 280-298.
Liu, B., Cheng, H. D., Huang, J., Tian, J., Tang, X., & Liu, J. (2010). Probability density difference-based active contour for ultrasound image segmentation. Pattern Recognition, 43(6), 2028-2042.
Zhang, Y., Cheng, H. D., Tian, J., Huang, J., & Tang, X. (2010). Fractional subpixel diffusion and fuzzy logic approach for ultrasound speckle reduction. Pattern Recognition, 43(8), 2962-2970.
Ding, J., Cheng, H. D., Huang, J., Zhang, Y., & Ning, C. (2011). A novel quantitative measurement for thyroid cancer detection based on elastography. International Congress on Image and Signal Processing. IEEE.
Zhang, Y., Cheng, H. D., Huang, J., & Tang, X. (2012). An effective and objective criterion for evaluating the performance of denoising filters. Pattern Recognition, 45(7), 2743-2757.
Ding, J., Cheng, H. D., Huang, J., Zhang, Y., Ding, J., & Cheng, H. D., et al. (2012). Multiple-instance learning approach for breast ultrasound image classification. IEEE International Conference on Image Processing. IEEE.
Ding, J., Cheng, H. D., Huang, J., Liu, J., & Zhang, Y. (2012). Breast ultrasound image classification based on multiple-instance learning. Journal of Digital Imaging, 25(5), 620-627.
Liu, Y., Cheng, H. D., Huang, J. H., Zhang, Y. T., Tang, X. L., & Tian, J. W., et al. (2012). Computer aided diagnosis system for breast cancer based on color doppler flow imaging. Journal of Medical Systems, 36(6), 3975-3982.
Liu, A. Y., Cheng, H. D., Huang, J., Zhang, Y., Tang, X., & Wang, H., et al. (2012). Computer-aided diagnosis system for breast cancer using b-mode and color doppler flow images. Optical Engineering, 51(4), 3202.