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Image separation using wavelet-complex shearlet dictionary

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Journal of Systems Engineering and Electronics 2014年第2期25卷 314-321页

作者： Shuaiqi Liu shaohai hu Yang Xiao Institute of Information Science Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology

This paper presents a new method for image separation through employing a combined dictionary consisting of wavelets and complex shearlets. Because the combined dictionary sparsely represents points and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. The proposed method based on the geo- metric separation theory introduced by Donoho in 2005 shows that accurate geometric separation of the morphologically distinct fea- tures of points and curves can be achieved by l1 minimization. The experimental results show that the proposed method can not only be effective but also greatly reduce the computing time.

关键词： geometric separation l1 minimization sparse approx-imation complex shearlet.

3D motion and geometric information system of single-antenna radar based on incomplete 1D range data

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Journal of Systems Engineering and Electronics 2011年第3期22卷 412-420页

作者： Yingkang Zhang Yang Xiao shaohai hu Institute of Information Science Beijing Jiaotong UniversityBeijing 100044P.R.China

A 3D motion and geometric information system of single-antenna radar is proposed,which can be supported by spotlight synthetic aperture radar（SAR） system and inverse SAR（ISAR） system involving relative 3D motion of the rigid *** this system,applying the geometry invariance of the rigid target,the unknown 3D shape and motion of the radar target can be reconstructed from the 1D range data of some scatterers extracted from the high-resolution range *** with the current 1D-to-3D algorithm,in the proposed algorithm,the requirement of the 1D range data is expanded to incomplete formation involving large angular motion of the target and hence,the quantity of the scatterers and the abundance of 3D motion are ***,with the three selected affine coordinates fixed,the multi-solution problem of the reconstruction is solved and the technique of nonlinear optimization can be successfully utilized in the *** simulations are implemented which verify the higher robustness of the system and the better performance of the 3D reconstruction for the radar target with unknown relative motion.

关键词： 3D reconstruction radar 1D range data geometry invariance inverse synthetic aperture radar(ISAR) bundle adjustment.

Multi-focus image fusion based on block matching in 3D transform domain

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Journal of Systems Engineering and Electronics 2018年第2期29卷 415-428页

作者： YANG Dongsheng hu shaohai LIU Shuaiqi MA Xiaole SUN Yuchao Institute of Information Science Beijing Jiaotong UniversityBeijing 100044China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing 100044China College of Electronic and Information Engineering Hebei UniversityBaoding 071002China The Third Research Institute China Electronics Technology Group CorporationBeijing 100015China

Fusion methods based on multi-scale transforms have become the mainstream of the pixel-level image fusion. However,most of these methods cannot fully exploit spatial domain information of source images, which lead to the degradation of *** paper presents a fusion framework based on block-matching and 3D(BM3D) multi-scale transform. The algorithm first divides the image into different blocks and groups these 2D image blocks into 3D arrays by their similarity. Then it uses a 3D transform which consists of a 2D multi-scale and a 1D transform to transfer the arrays into transform coefficients, and then the obtained low-and high-coefficients are fused by different fusion rules. The final fused image is obtained from a series of fused 3D image block groups after the inverse transform by using an aggregation process. In the experimental part, we comparatively analyze some existing algorithms and the using of different transforms, e.g. non-subsampled Contourlet transform(NSCT), non-subsampled Shearlet transform(NSST), in the 3D transform step. Experimental results show that the proposed fusion framework can not only improve subjective visual effect, but also obtain better objective evaluation criteria than state-of-the-art methods.

关键词： image fusion block matching 3D transform block-matching and 3D(BM3D) non-subsampled Shearlet transform(NSST)

The Research of Automatic Classification of Ultrasound Thyroid Nodules

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Computer Modeling in Engineering & Sciences 2021年第7期128卷 203-222页

作者： Yanling An shaohai hu Shuaiqi Liu Jie Zhao Yu-Dong Zhang Institute of Information Science Beijing Jiaotong UniversityBeijing100044China College of Electronic and Information Engineering Hebei UniversityBaoding071000China Machine Vision Technology Innovation Center of Hebei Province Baoding071000China Department of Informatics University of LeicesterLeicesterLE17RHUK

This paper proposes a computer-aided diagnosis system which can automatically detect thyroid nodules (TNs)and discriminate them as benign or malignant. The system firstly uses variational level set active contour withgradients and phase information to complete automatic extraction of the boundaries of thyroid nodules *** according to thyroid ultrasound images and clinical diagnostic criteria, a new feature extraction methodbased on the fusion of shape, gray and texture is explored. Due to the imbalance of thyroid sample classes, thispaper introduces a weight factor to improve support vector machine, offering different classes of samples withdifferent weights. Finally, thyroid nodules are classified and discriminated by the improved support vector *** show that the efficiency of discrimination on benign and malignant thyroid nodules is improved.

关键词： Thyroid nodules active contour model feature extraction image classification

AN IMPROVED SPARSITY ADAPTIVE MATCHING PURSUIT ALGORITHM FOR COMPRESSIVE SENSING BASED ON REGULARIZED BACKTRACKING

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Journal of Electronics(China) 2012年第6期29卷 580-584页

作者： Zhao Ruizhen Ren Xiaoxin Han Xuelian hu shaohai Institute of Information Science Beijing Jiaotong University Key Laboratory of Advanced Information Science and Network Technology of Beijing Patent Examination Cooperation Center of The Patent Office SIPO

Sparsity Adaptive Matching Pursuit (SAMP) algorithm is a widely used reconstruction algorithm for compressive sensing in the case that the sparsity is unknown. In order to match the sparsity more accurately, we presented an improved SAMP algorithm based on Regularized Backtracking (SAMP-RB). By adapting a regularized backtracking step to SAMP algorithm in each iteration stage, the proposed algorithm can flexibly remove the inappropriate atoms. The experimental results show that SAMP-RB reconstruction algorithm greatly improves SAMP algorithm both in reconstruction quality and computational time. It has better reconstruction efficiency than most of the available matching pursuit algorithms.

关键词： Compressive sensing Reconstruction algorithm Sparsity adaptive Regularized back-tracking

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运动模糊图像检测分割盲复原

系统工程与电子技术 2017年第3期39卷 662-667页

作者：刘艳玲胡绍海北京交通大学信息科学研究所北京100044 现代信息科学与网络技术北京市重点实验室北京100044

针对空间变化的运动模糊图像,提出基于单帧图像的模糊检测与分割的盲复原方法。首先,模糊检测生成模糊区域映射图;其次,采用腐蚀和膨胀分别对映射图中的模糊区域与清晰区域处理,利用处理结果标记,并采用分割算法分割图像;再次,分两步估... 详细信息

针对空间变化的运动模糊图像,提出基于单帧图像的模糊检测与分割的盲复原方法。首先,模糊检测生成模糊区域映射图;其次,采用腐蚀和膨胀分别对映射图中的模糊区域与清晰区域处理,利用处理结果标记,并采用分割算法分割图像;再次,分两步估计模糊核,并对模糊区域进行外延扩张,利用估计得到的模糊核进行反卷积去模糊;最后,去除被外延的部分,并与分割得到的清晰区域进行拼接,得到完整的去模糊后的图像。结果表明,算法在人工数据集峰值信噪比(peak signal to noise ratio,PSNR)平均提高10dB,均方根误差(root mean square error,RMSE)平均降低0.12,自然场景下的真实模糊数据集去模糊结果视觉质量明显提高。此外,该算法在减少模型复杂度的同时也提高了去模糊的质量。

关键词：图像去模糊空间变化模糊检测图像分割图像分割复原

基于多层显著性模型的SAR图像舰船目标检测

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系统工程与电子技术 2024年第2期46卷 478-487页

作者：扈琪胡绍海刘帅奇河北大学电子信息工程学院河北保定071002 北京交通大学信息科学研究所北京100044 现代信息科学与网络技术北京市重点实验室北京100044

针对合成孔径雷达图像舰船目标检测问题,提出了一种结合选择机制与轮廓信息的多层显著性目标检测方法。首先,利用非下采样剪切波和频谱残差法进行全局显著性区域提取。其次,提出了一种基于动态恒虚警率的活动轮廓显著性模型,逐步滤除候... 详细信息

针对合成孔径雷达图像舰船目标检测问题,提出了一种结合选择机制与轮廓信息的多层显著性目标检测方法。首先,利用非下采样剪切波和频谱残差法进行全局显著性区域提取。其次,提出了一种基于动态恒虚警率的活动轮廓显著性模型,逐步滤除候选区域的虚警,提取目标轮廓,从而实现目标的精确检测。所提方法能够由粗到细地快速捕获目标区域,从而实现高效、高分辨率合成孔径雷达图像舰船检测。最后,在真实SAR数据集进行了测试,与其他经典的舰船检测方法相比,所提算法不仅有效地抑制了海杂波的影响,而且在检测精度上有较大提高。

关键词： SAR图像目标检测非下采样剪切波变换显著性检测活动轮廓模型

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构建提速重载线路维修保障体系

铁道建筑 2008年第10期48卷 101-103页

作者：胡绍海郑州铁路局郑州450052

铁路第六次大提速后,既有线提速、重载给工务线路维修工作提出了更高的要求,从思想上提高了对养护维修的认识,不断更新维修管理理念,积极推进维修体制改革,加强基础管理和设备重点整治工作,严格落实各项规章制度和考核机制,以全面构建... 详细信息

铁路第六次大提速后,既有线提速、重载给工务线路维修工作提出了更高的要求,从思想上提高了对养护维修的认识,不断更新维修管理理念,积极推进维修体制改革,加强基础管理和设备重点整治工作,严格落实各项规章制度和考核机制,以全面构建线路维修保障体系,改进养护维修手段,不断提高线路设备质量以适应运输发展的需要。

关键词：工务维修体系提速重载

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金属蜂窝胶接质量的无损检测

无损检测 1988年第3期10卷 66-68页

作者：胡绍海南昌飞机制造公司

本文主要介绍JQJ-75型胶接强度检测仪检测单层蒙皮金属蜂窝结构脱胶缺陷的灵敏度与可靠性,同时对带垫板蜂窝结构的检测作了初步探讨,并对胶接试件模拟缺陷的制作作了介绍。

关键词：胶接件检测仪粘接强度金属蜂窝材料试验无损检测蜂窝格聚四氟乙烯膜质量