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Multi-Modality Medical Image Fusion Based on Wavelet Analysis and Quality Evaluation 被引量:3
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作者 Yu Lifeng & Zu Donglin Institute of Heavy Ion Physics, Peking University, 100871, P. R. China Wang Weidong General Hospital of PLA, Beijing 100853, P. R. China Bao Shanglian Institute of Heavy Ion Physics, Peking University, 100871, P. R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2001年第1期42-48,共7页
Multi-modality medical image fusion has more and more important applications in medical image analysis and understanding. In this paper, we develop and apply a multi-resolution method based on wavelet pyramid to fuse ... Multi-modality medical image fusion has more and more important applications in medical image analysis and understanding. In this paper, we develop and apply a multi-resolution method based on wavelet pyramid to fuse medical images from different modalities such as PET-MRI and CT-MRI. In particular, we evaluate the different fusion results when applying different selection rules and obtain optimum combination of fusion parameters. 展开更多
关键词 Computer simulation Computerized tomography image analysis image quality image understanding Magnetic resonance imaging Optical resolving power
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SAR image denoising based on wavelet-fractal analysis 被引量:4
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作者 Zhao Jian Cao Zhengwen Zhou Mingquan 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2007年第1期45-48,共4页
Wavelet-fractal based SAR (synthetic aperture radar) image processing is one of the advanced technologies in image processing. The main concept of analysis is that after wavelet transformation, multifractal spectrum... Wavelet-fractal based SAR (synthetic aperture radar) image processing is one of the advanced technologies in image processing. The main concept of analysis is that after wavelet transformation, multifractal spectrum of the signal is different from that of noise. This difference is used to alleviate the noise produced by SAR image.The method to denoise SAR image using the process based on wavelet-fractai analysis is discussed in detail. Essentially, the present method focuses on adjusting the Hoelder exponent α of multifractal spectrum. After simulation, α should be adjusted to 1.72-1.73. The more the value of α exceeds 1.73, the less distinctive the edges of SAR image become. According to the authors denoising is optimal at α=1.72-1.73. In other words, when α =1.72-1.73, a smooth and denoised SAR image is produced. 展开更多
关键词 Synthetic aperture radar image WAVELET Multifractal analysis DENOISING Hoelder exponent
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Vascular Stress Analysis Based on in vivo Intravascular Optical Coherence Tomography Image Segmentation
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作者 Junjie Jia Cuiru Sun 《医用生物力学》 EI CAS CSCD 北大核心 2019年第A01期110-110,共1页
Identification of carotid artery atherosclerosis is crucial for the diagnosis of the cerebral apoplexy and other vascular diseases.Intravascular optical tomography(IVOCT)has been employed to clinical coronary imaging ... Identification of carotid artery atherosclerosis is crucial for the diagnosis of the cerebral apoplexy and other vascular diseases.Intravascular optical tomography(IVOCT)has been employed to clinical coronary imaging for several years.Vessel morphological information on IVOCT images together with blood flow information on Doppler OCT(DOCT)images could provide a more accurate internal environment of arteries.Images integrated with fluid-structure interaction(FSI)could obtain the accurate mechanical responses and the quantitative material characters.A porcine carotid artery was imaged with an intravascular system(C7-XR,St.Jude Medical Inc.St.Paul,Minnesota,USA)in vivo,during which 120 images of one section and 600 images of a 5 mm/s pull back were captured within 6 s.Those images were then overlapped with Doppler phase changes to imply the changes in flow profiles.Segmentation and quantification of vessel structure was done in the software(MATLAB 2014b),including specifically the segmentation of lumen,imaging catheter,vessel wall and the guide wire.Appropriate interpolation functions are selected in the coordinate transformation algorithm to have smooth boundaries from images.A set of flow algorithms include image segmentation,three-dimensional/two-dimensional model reconstruction,inversion of material parameters,fitting of experimental velocity data and theoretical derivation based on simulation results is proposed.All steps are programmed to provide a theoretical basis for the future simplified process control.3D-reconstruction FSI model was built in SOLIDWORKS by lofting operation based on the segmentation results.Commercial finite element software(COMSOL 5.3,Sweden)numerically analyzed the entity model to obtain vessel stress/strain and flow shear stress data.Boundary conditions are from the OCT detection.Material of the artery was set to be the modified Mooney-Rivlin constitutive model and the parameters used were adjusted in an algorithm to match an ex vivo experiment.Wall shear stresses(WSS)and vessel deformations were chosen to measure the conditions of the artery and would serve as a target variables for future prediction.Thus,the geometric information together with the data of materials and other mechanical properties are possible to obtain during the imaging process.Segmentation process provided anatomically correct models of a two-layered artery.Numerical simulation permits reliable stress distribution in which the position of catheter and the artery curvature have a neglectable disturbance.Shear stress of the fluid is quite small compared with that of the wall at the same interface,which shows good agreement with the former studies.Moreover,a high flushing speed of 0.1 mps have little impact on the stress distributions and magnitudes,which denotes that the OCT imaging process brings little harm to the vessel.It is the first attempt to combine the OCT imaging and Doppler OCT within a full algorithm and a structural analysis.This study is helpful for the biomechanical property studies of carotid arteries and the development of medical imaging technology. 展开更多
关键词 VASCULAR Stress analysis VIVO INTRAVASCULAR Optical COHERENCE TOMOGRAPHY image Segmentation
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Extraction of yarn positional information from three-dimensional CT image of textile fabric using a yarn model for its structure analysis 被引量:1
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作者 Toshihiro Shinohara Jun-ya Takayama +1 位作者 Shinji Ohyama Akira Kobayashi 《仪器仪表学报》 EI CAS CSCD 北大核心 2008年第8期1569-1576,共8页
This paper proposes a novel method for analyzing a textile fabric structure to extract positional information regarding each yarn using three-dimensional X-ray computed tomography(3D CT) image.Positional relationship ... This paper proposes a novel method for analyzing a textile fabric structure to extract positional information regarding each yarn using three-dimensional X-ray computed tomography(3D CT) image.Positional relationship among the yarns can be reconstructed using the extracted yarn positional information.In this paper,a sequence of points on the center line of each yarn of the sample is defined as the yarn positional information,since the sequence can be regarded as the representative position of the yarn.The sequence is extracted by tracing the yarn.The yarn is traced by estimating the yarn center and direction and correlating the yarn part of the 3D CT image with a 3D yarn model,which is moved along the estimated yarn direction.The trajectory of the center of the yarn model corresponds to the positional information of the yarn.The application of the proposed method is shown by experimentally applying the proposed method to a 3D CT image of a double-layered woven fabric.Furthermore,the experimental results for a plain knitted fabric show that this method can be applied to even knitted fabrics. 展开更多
关键词 纺织品 CT影像 分析方法 物理结构
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Evaluation of Characteristics of Non-Metallic Inclusions in P/M Ni-Base Superalloy by Automatic Image Analysis
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作者 Li Xinggang Ge Changchun Shen Weiping 《航空制造技术》 2007年第z1期311-314,共4页
Non-metallic inclusions,especially the large ones,within P/M Ni-base superalloy have a major influence on fatigue characteristics,but are not directly measurable by routine inspection.In this paper,a method,automatic ... Non-metallic inclusions,especially the large ones,within P/M Ni-base superalloy have a major influence on fatigue characteristics,but are not directly measurable by routine inspection.In this paper,a method,automatic image analysis,is proposed for estimation of the content,size and amount of non-metallic inclusions in superalloy.The methodology for the practical application of this method is described and the factors affecting the precision of the estimation are discussed.In the experiment,the characteristics of the non-metallic inclusions in Ni-base P/M superalloy are analyzed. 展开更多
关键词 Non-metallic INCLUSIONS AUTOMATIC image analysis STEREOLOGY Ni-base SUPERALLOY
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THE ANALYSIS OF REMOTE SENSING IMAGES FOR ACTIVE FAULTS AND EARTHQUAKES IN CHINA
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作者 Zhang Shiliang (Institute of Geology, State Seismological Bureau) 《遥感信息》 CSCD 1990年第A02期7-8,共2页
The Landsat image information has recently been widely applied to structural geology, especially to the analysis of lineaments, owing to their macroscopic, visual and comprehensive features. The images will be more ef... The Landsat image information has recently been widely applied to structural geology, especially to the analysis of lineaments, owing to their macroscopic, visual and comprehensive features. The images will be more effective when applied to the interpretation of active faults. Active faults are widely ditributed in China. Much attention has been paid to the study of active faults both in China and abroad. There is certain controversy concerning the implication of the term "active fault". Strictly speaking, the term should refer only to the faults that are still active in the present day. However, the term also usually refers to the faults which have been active continually or intermittently from the Quaternary (or the end of Tertiary) to the present day. We propose that the tones and the configurations of features on Landsat images are the principal keys to the interpretation of active faults. The faults, which display the most prominent 展开更多
关键词 NNE THE analysis OF REMOTE SENSING imageS FOR ACTIVE FAULTS AND EARTHQUAKES IN CHINA
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SAR tomography imaging via higher-order spectrum analysis 被引量:2
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作者 Wang Jinfeng Pi Yiming 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第4期748-754,共7页
To deal with the non-Caussian noise in standard 2-D SAR images, the deramped signal in imaging plane, and the possible symmetric distribution of complex noise, the fourth-order cumulant of complex process is introduce... To deal with the non-Caussian noise in standard 2-D SAR images, the deramped signal in imaging plane, and the possible symmetric distribution of complex noise, the fourth-order cumulant of complex process is introduced into SAR tomography. With the estimated AR parameters of ARMA model of noise through Yule-Walker equation, the signal series of height is pre-filtered. Then, through ESPRIT, the spectrum is obtained and the aperture in height direction is synthesized. Finally, the SAR tomography imaging of scene is achieved. The results of processing on signal with non-Gaussian noise demonstrate the robustness of the proposed method. The tomography imaging of the scenes shows that the higher-order spectrum analysis is feasible in the application. 展开更多
关键词 synthetic aperture radar 3-D imaging TOMOGRAPHY high-order spectrum analysis nongaussian
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Opto-mechanical-thermal integration analysis of Doppler asymmetric spatial heterodyne interferometer
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作者 WANG Jin-jiang JIANG Lun +3 位作者 TONG Shou-feng PEI Hui-yi CUI Yong GUO Ming-hang 《中国光学(中英文)》 EI CAS CSCD 北大核心 2024年第6期1489-1511,共23页
In order to improve the detection accuracy of Doppler asymmetric spatial heterodyne(DASH)interferometer in harsh temperatures,an opto-mechanical-thermal integration analysis is carried out.Firstly,the correlation betw... In order to improve the detection accuracy of Doppler asymmetric spatial heterodyne(DASH)interferometer in harsh temperatures,an opto-mechanical-thermal integration analysis is carried out.Firstly,the correlation between the interference phase and temperature is established according to the working principle and the phase algorithm of the interferometer.Secondly,the optical mechanical thermal analysis model and thermal deformation data acquisition model are designed.The deformation data of the interference module and the imaging optical system at different temperatures are given by temperature load simulation analysis,and the phase error caused by thermal deformation is obtained by fitting.Finally,based on the wind speed error caused by thermal deformation of each component,a reasonable temperature control scheme is proposed.The results show that the interference module occupies the main cause,the temperature must be controlled within(20±0.05)℃,and the temperature control should be carried out for the temperature sensitive parts,and the wind speed error caused by the part is 3.8 m/s.The thermal drift between the magnification of the imaging optical system and the thermal drift of the relative position between the imaging optical system and the detector should occupy the secondary cause,which should be controlled within(20±2)℃,and the wind speed error caused by the part is 3.05 m/s.In summary,the wind measurement error caused by interference module,imaging optical system,and the relative position between the imaging optical system and the detector can be controlled within 6.85 m/s.The analysis and temperature control schemes presented in this paper can provide theoretical basis for DASH interferometer engineering applications. 展开更多
关键词 Doppler asymmetric spatial heterodyne interferometer interference module imaging optical system opto-mechanical thermal integration analysis phase error temperature control
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Sparse flight spotlight mode 3-D imaging of spaceborne SAR based on sparse spectrum and principal component analysis 被引量:2
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作者 ZHOU Kai LI Daojing +7 位作者 CUI Anjing HAN Dong TIAN He YU Haifeng DU Jianbo LIU Lei ZHU Yu ZHANG Running 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第5期1143-1151,共9页
The spaceborne synthetic aperture radar(SAR)sparse flight 3-D imaging technology through multiple observations of the cross-track direction is designed to form the cross-track equivalent aperture,and achieve the third... The spaceborne synthetic aperture radar(SAR)sparse flight 3-D imaging technology through multiple observations of the cross-track direction is designed to form the cross-track equivalent aperture,and achieve the third dimensionality recognition.In this paper,combined with the actual triple star orbits,a sparse flight spaceborne SAR 3-D imaging method based on the sparse spectrum of interferometry and the principal component analysis(PCA)is presented.Firstly,interferometric processing is utilized to reach an effective sparse representation of radar images in the frequency domain.Secondly,as a method with simple principle and fast calculation,the PCA is introduced to extract the main features of the image spectrum according to its principal characteristics.Finally,the 3-D image can be obtained by inverse transformation of the reconstructed spectrum by the PCA.The simulation results of 4.84 km equivalent cross-track aperture and corresponding 1.78 m cross-track resolution verify the effective suppression of this method on high-frequency sidelobe noise introduced by sparse flight with a sparsity of 49%and random noise introduced by the receiver.Meanwhile,due to the influence of orbit distribution of the actual triple star orbits,the simulation results of the sparse flight with the 7-bit Barker code orbits are given as a comparison and reference to illuminate the significance of orbit distribution for this reconstruction results.This method has prospects for sparse flight 3-D imaging in high latitude areas for its short revisit period. 展开更多
关键词 principal component analysis(PCA) spaceborne synthetic aperture radar(SAR) sparse flight sparse spectrum by interferometry 3-D imaging
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Image-Pro Plus软件在小麦淀粉粒显微图像分析中的应用 被引量:28
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作者 余徐润 周亮 +4 位作者 荆彦平 刘大同 胡慕兰 熊飞 王忠 《电子显微学报》 CAS CSCD 2013年第4期344-351,共8页
以小麦胚乳淀粉粒的光学显微镜和扫描电子显微镜图像为研究对象,运用image-pro plus(IPP)图像分析软件研究了小麦淀粉粒面积、圆度、长轴、短轴、最大弗雷特直径和最小弗雷特直径等几何特征,并根据最大轴长实现了图像中淀粉粒的抽出及... 以小麦胚乳淀粉粒的光学显微镜和扫描电子显微镜图像为研究对象,运用image-pro plus(IPP)图像分析软件研究了小麦淀粉粒面积、圆度、长轴、短轴、最大弗雷特直径和最小弗雷特直径等几何特征,并根据最大轴长实现了图像中淀粉粒的抽出及自动排序。与Smileview和Image J图像分析软件相比,IPP具有在淀粉粒SEM图像分析中误差最小、能测量的颗粒物质参数最多的优点。 展开更多
关键词 image-pro PLUS 小麦淀粉粒 显微图像 图像分析
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Image-Pro Plus混凝土孔结构图像分析方法 被引量:65
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作者 张雄 黄廷皓 +2 位作者 张永娟 高辉 姜曼 《建筑材料学报》 EI CAS CSCD 北大核心 2015年第1期177-182,共6页
根据定量体视学的原理,应用光学显微镜和计算机图像处理软件(Image-Pro Plus),针对混凝土内部的细观气孔(10~1 600μm),详细介绍了Image-Pro Plus混凝土孔结构图像分析方法,并计算出图像分析中砂浆的最小样本数为4,混凝土的最小样... 根据定量体视学的原理,应用光学显微镜和计算机图像处理软件(Image-Pro Plus),针对混凝土内部的细观气孔(10~1 600μm),详细介绍了Image-Pro Plus混凝土孔结构图像分析方法,并计算出图像分析中砂浆的最小样本数为4,混凝土的最小样本数为1,满足了图像分析混凝土孔结构的适用性.结果表明:Image-Pro Plus混凝土孔结构图像分析方法具有典型代表性和良好操作性,适于深入研究混凝土孔结构与宏观性能的关联性. 展开更多
关键词 孔结构 图像分析 混凝土
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用Image J分析水稻胚乳淀粉粒表面几何特征的方法 被引量:16
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作者 刘智 王玲玲 +2 位作者 周卫东 陈义芳 王忠 《电子显微学报》 CAS CSCD 北大核心 2011年第4期466-471,共6页
以水稻淀粉粒光学显微镜和扫描电子显微镜图像为研究对象,介绍了图像分析软件Image J在淀粉粒表面特征分析中的应用。图像分析结果以轮廓图(outline)和拟合椭圆(ellipse fitting)两种方式呈现,分析指标选择了面积、周长、长轴、短轴、... 以水稻淀粉粒光学显微镜和扫描电子显微镜图像为研究对象,介绍了图像分析软件Image J在淀粉粒表面特征分析中的应用。图像分析结果以轮廓图(outline)和拟合椭圆(ellipse fitting)两种方式呈现,分析指标选择了面积、周长、长轴、短轴、圆度及最大切直径。最后还对颗粒图像的获取和图像前处理进行了探讨。 展开更多
关键词 imageJ 水稻淀粉粒 显微图像 图像分析
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运用Image J软件分析土壤结构特征 被引量:35
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作者 毕利东 张斌 潘继花 《土壤》 CAS CSCD 北大核心 2009年第4期654-658,共5页
以土壤团聚体、土壤裂隙以及土壤优先流特征数码图像为研究对象,介绍了ImageJ软件在土壤结构特征分析中的应用。研究结果表明:①马尾松林地表层土壤团聚体圆度大于母质层土壤颗粒的圆度;②运用图像测量方法能够快速地测定土壤裂隙几何... 以土壤团聚体、土壤裂隙以及土壤优先流特征数码图像为研究对象,介绍了ImageJ软件在土壤结构特征分析中的应用。研究结果表明:①马尾松林地表层土壤团聚体圆度大于母质层土壤颗粒的圆度;②运用图像测量方法能够快速地测定土壤裂隙几何特征以及土壤收缩曲线;③土壤优先流示踪图像分析结果显示红壤性水稻土犁底层具有显著的防渗功能,而同一土壤剖面内土壤连通性孔隙存在较大的空间分异。最后,本文还对以上研究结果和图像分析方法进行了探讨。 展开更多
关键词 image J 土壤结构 图像分析 土壤团聚体 裂隙形态
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Analysis and fusion methods on low light level image and ultra-violet image
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作者 BAI Lian-fa ZHANG Yi +2 位作者 GU Guo-hua CHEN Qian ZHANG Bao-min 《红外与激光工程》 EI CSCD 北大核心 2007年第1期113-117,共5页
on the basis of analyzing the characteristics of low light level(LLL)image and ultra-violet image and the information amount of dual channel color night vision system,the LLL and ultra-violet color night vision techni... on the basis of analyzing the characteristics of low light level(LLL)image and ultra-violet image and the information amount of dual channel color night vision system,the LLL and ultra-violet color night vision technique is put forward.The methods of gray-scale modulation,frequency field fusion,special component fusion arc tried,and the improved LLL and ultra-violet image pseudo color fusion algorithms are presented.These new algorithms include subsection gray-scale modulation,image difference picking-up,component separation based on the reflected characteristics to night skylight reflection characteristics of objects and color space mapping which embodies the spectrum response of image sensor and nature vision.Some good results are obtained. 展开更多
关键词 imagc analysis image fusion Low light level(LLL)image Ultra-violet image Dual-channel Color night vision system
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Image-Pro Plus图像分析软件定量鸡胚尿囊膜血管新生面积的方法 被引量:33
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作者 许扬 赵英凯 +1 位作者 毕明刚 刘妍 《中国比较医学杂志》 CAS 2007年第12期745-747,F0003,共4页
目的应用Image-Pro Plus 5.0图像处理和分析软件,研究鸡胚尿囊膜(chick chorioallantoic membrane,CAM)血管新生面积定量的新方法。方法20只发育良好的7日龄鸡胚,分为龙葵给药组和对照组,每组10只。将中药龙葵水提液及等量蒸馏水吸附于5... 目的应用Image-Pro Plus 5.0图像处理和分析软件,研究鸡胚尿囊膜(chick chorioallantoic membrane,CAM)血管新生面积定量的新方法。方法20只发育良好的7日龄鸡胚,分为龙葵给药组和对照组,每组10只。将中药龙葵水提液及等量蒸馏水吸附于5 mm直径的定性滤纸,置于CAM上。利用Image-Pro Plus 5.0软件,定量血管新生面积、蛋壳开窗处对应的CAM面积,计算出血管新生面积与CAM面积的比值。结果用Image-Pro Plus 5.0可方便、自动、准确地进行给药前后的数据收集和面积计算。统计分析表明,受试物龙葵可明显抑制CAM血管新生,与对照组比较有极显著差异(P<0.001)。结论Image-Pro Plus 5.0图像处理和分析软件是一种高效、准确的统计血管新生面积的工具,用该软件定量蛋壳开窗部位下的血管新生面积占开窗部位所对应的CAM总面积,不仅操作简便,而且数据计算自动生成,可较准确地反映鸡胚血管新生情况。 展开更多
关键词 图像分析 image.Pro PLUS 5.0 血管新生定量 鸡胚尿囊膜
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采用Image J软件分析硅酸钙填料在纸张中的Z向分布
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作者 宋顺喜 李琳 +1 位作者 杨强 张美云 《陕西科技大学学报(自然科学版)》 2016年第5期17-21,共5页
填料在纸张Z向分布的表征方法研究对于优化纸页结构,提升纸品性能方面具有重要意义.采用分层抄造后层合的方法获得不同硅酸钙填料在纸张中的Z向分布曲线,利用Image J软件对加填纸张填料Z向分布的SEM图像进行了数字化表征与分析.结果表明... 填料在纸张Z向分布的表征方法研究对于优化纸页结构,提升纸品性能方面具有重要意义.采用分层抄造后层合的方法获得不同硅酸钙填料在纸张中的Z向分布曲线,利用Image J软件对加填纸张填料Z向分布的SEM图像进行了数字化表征与分析.结果表明,采用分层抄造方法可用于调控填料在纸张的Z向分布.利用Image J软件对填料Z向分布的SEM图像进行数字化处理后,能较好地反映出填料在纸张Z向的分布情况,该方法在研究纸张填料Z向分布与成纸性能的关系方面具有一定的借鉴意义. 展开更多
关键词 填料分布 SEM图像 纸张 图像分析
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Optimum selection of common master image for ground deformation monitoring based on PS-DInSAR technique 被引量:6
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作者 Zhu Zhengwei Zhou Jianjiang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2009年第6期1213-1220,共8页
Considering the joint effects of various factors such as temporal baseline, spatial baseline, thermal noise, the difference of Doppler centroid frequency and the error of data processing on the interference correlatio... Considering the joint effects of various factors such as temporal baseline, spatial baseline, thermal noise, the difference of Doppler centroid frequency and the error of data processing on the interference correlation, an optimum selection method of common master images for ground deformation monitoring based on the permanent scatterer and differential SAR interferometry (PS-DInSAR) technique is proposed, in which the joint correlation coeficient is used as the evaluation function. The principle and realization method of PS-DInSAR technology is introduced, the factors affecting the DInSAR correlation are analysed, and the joint correlation function model and its solution are presented. Finally an experiment for the optimum selection of common master images is performed by using 25 SAR images over Shanghai taken by the ERS-1/2 as test data. The results indicate that the optimum selection method for PS-DInSAR common master images is effective and reliable. 展开更多
关键词 remote sensing ground deformation monitoring differential SAR interferometry common master image permanent scatterer synthetic aperture radar image analysis.
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SAR image de-noising via grouping-based PCA and guided filter 被引量:5
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作者 FANG Jing HU Shaohai MA Xiaole 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第1期81-91,共11页
A novel synthetic aperture radar(SAR)image de-noising method based on the local pixel grouping(LPG)principal component analysis(PCA)and guided filter is proposed.This method contains two steps.In the first step,we pro... A novel synthetic aperture radar(SAR)image de-noising method based on the local pixel grouping(LPG)principal component analysis(PCA)and guided filter is proposed.This method contains two steps.In the first step,we process the noisy image by coarse filters,which can suppress the speckle effectively.The original SAR image is transformed into the additive noise model by logarithmic transform with deviation correction.Then,we use the pixel and its nearest neighbors as a vector to select training samples from the local window by LPG based on the block similar matching.The LPG method ensures that only the similar sample patches are used in the local statistical calculation of PCA transform estimation,so that the local features of the image can be well preserved after coefficients shrinkage in the PCA domain.In the second step,we do the guided filtering which can effectively eliminate small artifacts left over from the coarse filtering.Experimental results of simulated and real SAR images show that the proposed method outstrips the state-of-the-art image de-noising methods in the peak signalto-noise ratio(PSNR),the structural similarity(SSIM)index and the equivalent number of looks(ENLs),and is of perceived image quality. 展开更多
关键词 synthetic aperture radar(SAR)image de-noising local pixel grouping(LPG) principal component analysis(PCA) guided filter
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Frequency domain based super-resolution method for mixed-resolution multi-view images
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作者 Zhizhong Fu Yawei Li +2 位作者 Yuan Li Lan Ding Keyu Long 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第6期1303-1314,共12页
Super-resolution (SR) techniques, which are based on single or multi-frame low-resolution (LR) images, have been extensively investigated in the last two decades. Mixed-resolution multiview video format plays an impor... Super-resolution (SR) techniques, which are based on single or multi-frame low-resolution (LR) images, have been extensively investigated in the last two decades. Mixed-resolution multiview video format plays an important role in three-dimensional television (3DTV) coding scheme. Previous work considers multiview or multi-camera images and videos at the same resolution, which performs well under the planar model without or with little projection error among the videos captured by different cameras. In recent years, several researchers have discussed the SR problem in mixed-resolution multi-view video format, where the superresolved image is created using the up-sampled version of the LR image and the high frequency components extracted from the warped image in the adjacent high-resolution (HR) views. Unfortunately, the output HR images suffer from artifacts caused by depth error. To obtain the detailed texture and edge information from the HR image as much as possible, while preserving the structure of the LR image, a novel SR reconstruction algorithm is proposed. The algorithm is composed of three components: the structure term, the detail information term, and the regularization term. The first term preserves the structure similarity of the LR image; the second term extracts detailed information from the adjacent HR image; and the last term ensures the uniqueness of the solution. Experimental results show the effectiveness and robustness of the proposed algorithm, which achieves high performance both subjectively and objectively. © 2016 Beijing Institute of Aerospace Information. 展开更多
关键词 Cameras Edge detection Frequency domain analysis image reconstruction Optical resolving power
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一个显微图象分析软件系统IMAGE_A的设计与实现
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作者 陈世平 陈自虞 《计算机学报》 EI CSCD 北大核心 1992年第10期756-764,共9页
本文介绍了一个显微图象分析软件系统IMAGE_A的设计和实现.它基于数学形态学理论,这个系统包含由图象变换、形状分析、纹理分析、辅助功能四个基本部分构成的图象分析系统软件,及在这个系统软件基础上开发的一个应用项目:胸腹水涂片癌... 本文介绍了一个显微图象分析软件系统IMAGE_A的设计和实现.它基于数学形态学理论,这个系统包含由图象变换、形状分析、纹理分析、辅助功能四个基本部分构成的图象分析系统软件,及在这个系统软件基础上开发的一个应用项目:胸腹水涂片癌细胞辅助识别系统Cell. 展开更多
关键词 应用程序 数学形态学 图象分析
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