章秀华 1,2,3洪汉玉 1,2,*徐洋洋 1,2,3张天序 4
作者单位
摘要
1 光学信息与模式识别湖北省重点实验室,湖北 武汉 430205
2 湖北省视频图像与高清投影工程技术研究中心,湖北 武汉 430205
3 武汉工程大学 机电工程学院,湖北 武汉 430205
4 华中科技大学 图像识别与人工智能研究所,湖北 武汉 430074
矿石自动筛选是提高矿产资源加工效率的关键环节之一。针对矿石开采现场光照复杂多变,传送带矿石难以实时自动检测等问题,提出了一种基于红外线结构光的现场矿石3D视觉实时筛选方法。为了解决复杂光照条件下太阳辐射对矿石表面结构光成像干扰的问题,提出采用800 nm附近红外线结构光作为成像主动光源,在各种光照条件下获取稳定的矿石表面结构光图像;提出邻域累积差分特征分析方法,通过快速定位光条边界点来提取结构光光条中心,实时获取矿石3D坐标数据。对复杂光照条件下的大量现场矿石表面结构光图像采用多线程进行处理,实验结果表明,与现有方法相比,文中方法速度更快,稳定性更强,能适应线结构光形态和方向变化。对每幅矿石结构光图像筛选的时间为13.2 ms,满足现场矿石3D实时筛选需求。
复杂光照条件 矿石三维视觉实时筛选 红外线结构光中心提取 邻域累积差分 多线程处理 complex illumination condition real time 3D vision screening of ore infrared structured light center extraction neighborhood cumulative difference multithreading 
红外与激光工程
2021, 50(11): 20210125
作者单位
摘要
1 武汉工程大学 电气信息学院,湖北 武汉 430205
2 华中科技大学 自动化学院,湖北 武汉 430074
针对序列图像中目标因不显著、被遮挡等情况而出现的虚警或丢失问题,提出一种基于自动选取辅助目标的建筑物目标间接定位方法,提高目标跟踪稳定性。该方法首先自动选取红外图像中形状稳定、灰度显著的区域作为辅助目标。定位建筑物目标后,提取其与目标相对位置关系,之后利用该相对位置间接定位,最后融合直接识别及间接定位结果定位目标,并能实时更新辅助目标,保证其时刻处于视场中。实验结果表明:通过间接定位能解决目标虚警或丢失问题,提升目标定位过程中算法的准确性及鲁棒性。
红外 建筑物目标 自动选取 显著区域 辅助目标 间接定位 infrared building target automatic selection salient region auxiliary target indirect location 
应用光学
2019, 40(4): 603
作者单位
摘要
1 华中科技大学图像识别与人工智能研究所多谱信息处理重点实验室, 湖北 武汉 430074
2 武汉工业学院, 湖北 武汉 430023
3 武汉光电国家实验室(筹), 湖北 武汉 430074
目前太赫兹技术的研究主要集中在它的产生、探测机理研究上。由于太赫兹波处于微波和可见光之间的频率范围,已有的微波和光波理论是否能适用于太赫兹波或者具有某些共同的特性仍需实验验证。通过实验分析验证了太赫兹波在空气介质中在垂直于传播方向的平面内场振幅是服从高斯函数分布的,测量给出了太赫兹波的能量分布图。根据测试数据推导出太赫兹波在空气介质中能量衰减公式,利用法布里珀罗(F-P)干涉仪原理设计出太赫兹波长仪,对美国Corehent公司SIFIR-50 THz太赫兹激光器发射的1~3 THz波长进行了测量。讨论分析了远场发射角、光束入射角度、机械振动、温度波动和折射率n波动等相关因素对测量精度的影响。
测量 法布里珀罗干涉仪 波长仪 精度分析 太赫兹波 
光学学报
2012, 32(6): 0612001
作者单位
摘要
1 哈尔滨工程大学 计算机科学与技术学院, 哈尔滨 150001
2 华中科技大学 人工智能与模式识别研究所, 武汉 430074
3 武汉光电国家实验室,武汉 430074
4 广西师范大学 物理电子工程学院, 南宁 530023
研制了一种下一代小型化实时成像的激光雷达样机,这种新的激光雷达系统由激光二极管、准直镜、MEMS微扫描器、收集光学、带通滤波器、光电探测器和信号处理装置组成,其核心器件是基于MEMS的微扫描反射镜。详细分析了系统的结构和参数,结果表明:其距离分辨率为1cm,视场角为24°,谐振频率为1.5kHz。该下一代MEMS微扫描器激光雷达系统具有高精度、低成本、小体积和三维实时成像等优点。
激光技术 MEMS激光雷达 微扫描器 实时成像 三维成像 laser technique MEMS ladar microscanner real time imaging 3D imaging 
半导体光电
2011, 32(5): 707
Author Affiliations
Abstract
State Key Laboratory for Multispectral Information Processing Technologies, Institute for Pattern Recognition and Artif icial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
A novel hybrid fitting energy-based active contour model in the level set framework is proposed. The method fuses the region and boundary information of the target to achieve accurate and robust detection performance. A special extra term that penalizes the deviation of the level set function from a signed distance function is also included in our method. This term allows the time-consuming redistancing operation to be removed completely. Moreover, a fast unconditionally stable numerical scheme is introduced to solve the problem. Experimental results on real infrared images show that our method can improve target detection performance efficiently in terms of the number of iterations and the wasted central processing unit (CPU) time.
杂交拟合能量 主动轮廓 水平集 加性算子分裂 目标检测. 100.5010 Pattern recognition 100.2960 Image analysis 100.2000 Digital image processing 100.3008 Image recognition, algorithms and filters 
Chinese Optics Letters
2011, 9(7): 071001
Author Affiliations
Abstract
1 Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
2 School of Electronic Information Engineering, Beihang University, Beijing 100191, China
We propose improved multilevel filters (IMLFs) involving the absolute value operation into the algorithmic framework of traditional multilevel filters (MLFs) to improve the robustness of infrared small target enhancement techniques under a complex infrared cluttered background. Compared with the widely used small target enhancement methods which only deal with bright targets, the proposed technique can enhance the infrared small target, whether it is bright or dark. Experimental results verify that the proposed technique is efficient and practical.
红外小目标 目标增强 多级滤波 杂波背景 100.3008 Image recognition, algorithms and filters 100.2000 Digital image processing 100.2960 Image analysis 100.0100 Image processing 
Chinese Optics Letters
2011, 9(5): 051001
Author Affiliations
Abstract
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
A novel indirect building localization technique based on a prominent solid landmark from a forward-looking infrared imagery is proposed to localize low, deeply buried, or carefully camouflaged buildings in dense urban areas. First, the widely used effective methods are applied to detect and localize the solid landmark. The building target is then precisely indirectly localized by perspective transformation according to the imaging parameters and the space constraint relations between the building target and the solid landmark. Experimental results demonstrate this technique can indirectly localize buildings in dense urban areas effectively.
建筑物间接定位 立体地标 前视红外 透视变换 100.3008 Image recognition, algorithms and filters 100.2000 Digital image processing 100.2960 Image analysis 100.0100 Image processing 
Chinese Optics Letters
2011, 9(4): 041003
Author Affiliations
Abstract
1 Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
2 School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China
A joint clustering and classification approach is proposed. This approach exploits unlabeled data for efficient clustering, which is applied in the classification with support vector machine (SVM) in the case of small-size training samples. The proposed method requires no prior information on data labels, and yields better cluster structures. Through cluster assumption and the notions of support vectors, the most confident k cluster centers and data points near the cluster boundaries are labeled and used to train a reliable SVM classifier. Our method gains better estimation of data distributions and mitigates the unrepresentative problem of small-size training samples. The data set collected from Landsat Thematic Mapper (Landsat TM-5) validates the effectiveness of the proposed approach.
未标识数据 小样本 数据分布 无代表性问题 100.3008 Image recognition, algorithms and filters 100.5010 Pattern recognition 
Chinese Optics Letters
2011, 9(1): 011002
Author Affiliations
Abstract
1 Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China
2 National Laboratory for Multi-Spectral Information Processing Technology, Huazhong University of Science and Technology, Wuhan 430074, China
3 Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China
A 128×128 elements cylindrical liquid crystal (LC) lens array with electrically controllable focal length is proposed. The cylindrical LC lens array uses transparent indium tin oxide (ITO) films as electrode, avoiding to affect the optical path operating in the voltage-off status. As the top electrode of the cylindrical LC lens array contacts with LC, the operation voltage root-mean-square (RMS) amplitude can be as low as 1.4 V and the response time is about 20-30 ms. The special optical focusing feature of the cylindrical LC lens array is got. And the focal length of this array is about 60-450 \mu m.
液晶柱透镜 电控可调焦 大面阵 220.3630 Lenses 230.2090 Electro-optical devices 
Chinese Optics Letters
2010, 8(3): 329
李晖 1,2,*刘侃 1,2张新宇 1,2,3张天序 1,2沈绪榜 1,2
作者单位
摘要
1 华中科技大学 图像识别与人工智能研究所,湖北 武汉 430074
2 华中科技大学 多谱信息技术处理国防重点实验室,湖北 武汉 430074
3 武汉国家光电实验室,湖北 武汉 430074
理论上分析并从实验上验证了通过改变外加电场的频率来驱动的128×128元变焦液晶透镜阵列。将上电极设计为圆孔阵列,由于圆孔电极在单元区域内形成的非均匀电场分布,从而使液晶分子在不同位置处旋转角度不同,在液晶层内形成了折射率梯度分布,由此单元区域具有了光学聚焦特性。分析了由于外加电场频率改变引起液晶介电常数变化给液晶透镜阵列焦距带来的影响。实验中制作的液晶透镜阵列的焦距调节范围为20-600 μm,焦点尺寸为10 μm,响应时间为微秒量级,可以呈清晰的多重影像。通过使用外加电场的频率可以得到变焦液晶透镜阵列,降低了液晶透镜阵列的工作电压,提升了液晶透镜阵列工作响应速度。
光学器件 液晶透镜阵列 自适应光学 频率驱动 电控变焦 
光学学报
2010, 30(1): 218

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