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Multimodal clinical parameters-based immune status associated with the prognosis in patients with hepatocellular carcinoma
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作者 Yu-Zhou Zhang Yuan-Ze Tang +4 位作者 Yun-Xuan He Shu-Tong Pan Hao-Cheng Dai Yu Liu Hai-Feng Zhou 《World Journal of Gastrointestinal Oncology》 2026年第1期75-91,共17页
Hepatocellular carcinoma presents with three distinct immune phenotypes,including immune-desert,immune-excluded,and immune-inflamed,indicating various treatment responses and prognostic outcomes.The clinical applicati... Hepatocellular carcinoma presents with three distinct immune phenotypes,including immune-desert,immune-excluded,and immune-inflamed,indicating various treatment responses and prognostic outcomes.The clinical application of multi-omics parameters is still restricted by the expensive and less accessible assays,although they accurately reflect immune status.A comprehensive evaluation framework based on“easy-to-obtain”multi-model clinical parameters is urgently required,incorporating clinical features to establish baseline patient profiles and disease staging;routine blood tests assessing systemic metabolic and functional status;immune cell subsets quantifying subcluster dynamics;imaging features delineating tumor morphology,spatial configuration,and perilesional anatomical relationships;immunohistochemical markers positioning qualitative and quantitative detection of tumor antigens from the cellular and molecular level.This integrated phenomic approach aims to improve prognostic stratification and clinical decision-making in hepatocellular carcinoma management conveniently and practically. 展开更多
关键词 Hepatocellular carcinoma Immune status phenotypE Multimodal parameters PROGNOSIS
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An improved conditional denoising diffusion GAN for Mach number field reconstruction in a multi-tunnel combined inlet based on sparse parameter information
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作者 Ke MIN Fan LEI +2 位作者 Jiale ZHANG Chengxiang ZHU Yancheng YOU 《Chinese Journal of Aeronautics》 2026年第1期169-190,共22页
The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To... The internal flow fields within a three-dimensional inward-tunning combined inlet are extremely complex,especially during the engine mode transition,where the tunnel changes may impact the flow fields significantly.To develop an efficient flow field reconstruction model for this,we present an Improved Conditional Denoising Diffusion Generative Adversarial Network(ICDDGAN),which integrates Conditional Denoising Diffusion Probabilistic Models(CDDPMs)with Style GAN,and introduce a reconstruction discrimination mechanism and dynamic loss weight learning strategy.We establish the Mach number flow field dataset by numerical simulation at various backpressures for the mode transition process from turbine mode to ejector ramjet mode at Mach number 2.5.The proposed ICDDGAN model,given only sparse parameter information,can rapidly generate high-quality Mach number flow fields without a large number of samples for training.The results show that ICDDGAN is superior to CDDGAN in terms of training convergence and stability.Moreover,the interpolation and extrapolation test results during backpressure conditions show that ICDDGAN can accurately and quickly reconstruct Mach number fields at various tunnel slice shapes,with a Structural Similarity Index Measure(SSIM)of over 0.96 and a Mean-Square Error(MSE)of 0.035%to actual flow fields,reducing time costs by 7-8 orders of magnitude compared to Computational Fluid Dynamics(CFD)calculations.This can provide an efficient means for rapid computation of complex flow fields. 展开更多
关键词 Flow field reconstruction Improved Conditional Denoising Diffusion Generative Adversarial Network(ICDDGAN) Mode transition Sparse parameter information three-dimensional inward-tunning combined inlet
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New criterion for rock joints based on three-dimensional roughness parameters 被引量:10
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作者 唐志成 刘泉声 黄继辉 《Journal of Central South University》 SCIE EI CAS 2014年第12期4653-4659,共7页
The shear behavior of rock joints is important in solving practical problems of rock mechanics. Three group rock joints with different morphologies are made by cement mortar material and a series of CNL(constant norma... The shear behavior of rock joints is important in solving practical problems of rock mechanics. Three group rock joints with different morphologies are made by cement mortar material and a series of CNL(constant normal loading) shear tests are performed. The influences of the applied normal stress and joint morphology to its shear strength are analyzed. According to the experimental results, the peak dilatancy angle of rock joint decreases with increasing normal stress, but increases with increasing roughness. The shear strength increases with the increasing normal stress and the roughness of rock joint. It is observed that the modes of failure of asperities are tensile, pure shear, or a combination of both. It is suggested that the three-dimensional roughness parameters and the tensile strength are the appropriate parameter for describing the shear strength criterion. A new peak shear criterion is proposed which can be used to predict peak shear strength of rock joints. All the used parameters can be easily obtained by performing tests. 展开更多
关键词 rock joint shear behavior peak shear strength three-dimensional roughness parameter
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Rapid three-dimensional phenotyping of congenital heart disease in mouse by micro-CT
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作者 Qing Chu Yu Nie +3 位作者 Shijun Gao Haobin Jiang Tianyun Chen Shengshou Hu 《中国循环杂志》 CSCD 北大核心 2018年第S01期121-121,共1页
Objective To establish three-dimensional phenotyping system for congenital heart disease in mouse and to lay a foundation for the study of phenotype identification and mechanism of congenital heart disease.Methods Twe... Objective To establish three-dimensional phenotyping system for congenital heart disease in mouse and to lay a foundation for the study of phenotype identification and mechanism of congenital heart disease.Methods Twelve SPF C57BL/6 J wild type pregnant mice(8-10 week-old)were randomly divided into control group(n=6)and experimental group(n=6). 展开更多
关键词 three-dimensional phenotypING MICRO-CT phenotypE identification CONGENITAL heart disease
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Three-dimensional(3D)parametric measurements of individual gravels in the Gobi region using point cloud technique
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作者 JING Xiangyu HUANG Weiyi KAN Jiangming 《Journal of Arid Land》 SCIE CSCD 2024年第4期500-517,共18页
Gobi spans a large area of China,surpassing the combined expanse of mobile dunes and semi-fixed dunes.Its presence significantly influences the movement of sand and dust.However,the complex origins and diverse materia... Gobi spans a large area of China,surpassing the combined expanse of mobile dunes and semi-fixed dunes.Its presence significantly influences the movement of sand and dust.However,the complex origins and diverse materials constituting the Gobi result in notable differences in saltation processes across various Gobi surfaces.It is challenging to describe these processes according to a uniform morphology.Therefore,it becomes imperative to articulate surface characteristics through parameters such as the three-dimensional(3D)size and shape of gravel.Collecting morphology information for Gobi gravels is essential for studying its genesis and sand saltation.To enhance the efficiency and information yield of gravel parameter measurements,this study conducted field experiments in the Gobi region across Dunhuang City,Guazhou County,and Yumen City(administrated by Jiuquan City),Gansu Province,China in March 2023.A research framework and methodology for measuring 3D parameters of gravel using point cloud were developed,alongside improved calculation formulas for 3D parameters including gravel grain size,volume,flatness,roundness,sphericity,and equivalent grain size.Leveraging multi-view geometry technology for 3D reconstruction allowed for establishing an optimal data acquisition scheme characterized by high point cloud reconstruction efficiency and clear quality.Additionally,the proposed methodology incorporated point cloud clustering,segmentation,and filtering techniques to isolate individual gravel point clouds.Advanced point cloud algorithms,including the Oriented Bounding Box(OBB),point cloud slicing method,and point cloud triangulation,were then deployed to calculate the 3D parameters of individual gravels.These systematic processes allow precise and detailed characterization of individual gravels.For gravel grain size and volume,the correlation coefficients between point cloud and manual measurements all exceeded 0.9000,confirming the feasibility of the proposed methodology for measuring 3D parameters of individual gravels.The proposed workflow yields accurate calculations of relevant parameters for Gobi gravels,providing essential data support for subsequent studies on Gobi environments. 展开更多
关键词 Gobi gravels three-dimensional(3D)parameters point cloud 3D reconstruction Random Sample Consensus(RANSAC)algorithm Density-Based Spatial Clustering of Applications with Noise(DBSCAN)
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Antidiastole Value of Three-dimensional Ultrasonography and Power Doppler between Uterine Parenchyma Lumps and Endometrial Cancer:A Retrospective Study 被引量:14
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作者 Yan ZHANG Jing CHEN +1 位作者 Zeng ZHEN Xiao-yan XU 《Current Medical Science》 SCIE CAS 2019年第5期816-819,共4页
Sometimes endometrial polyps,submucosal myomas,and endometrial cancer show similar findings under ultrasonography.The aim of this study was to assess the antidiastole value of blood flow parameters using three-dimensi... Sometimes endometrial polyps,submucosal myomas,and endometrial cancer show similar findings under ultrasonography.The aim of this study was to assess the antidiastole value of blood flow parameters using three-dimensional(3D)power Doppler ultrasonography angiography(PDA)between endometrial cancer and uterine parenchyma lumps.The data of the blood flow indices in 3D-PDA including the vascularization index(VI),flow index(FI),and vascularization flow index(VFI)in 40 patients with endometrial cancer and 41 patients with uterine parenchyma lumps(endometrial polyps and submucosal myomas)were retrospectively analysed and compared utilizing Virtual Organ Computer-aided AnaLysis(VOCAL)software.The results showed that all the blood flow parameters(VI,FI,VFI)were significantly higher in women with endometrial cancer than in those with uterine parenchyma lumps(P<0.001).The area under the curve of ROC of VI,FI,and VFI was 0.98,0.84,and 0.97,respectively.Thus,the best predictor of endometrial carcinoma was VI with a sensitivity of 97.0% and a specificity of 91.0%.The optimal cutoff value of VI was 4.06%.Our data demonstrated that all of the blood flow signal parameters(including VI,FI,and VFI)in 3D power Doppler ultrasonography had significant antidiastole values between endometrial cancer and uterine parenchyma lumps to assist clinicians in properly diagnosing patients. 展开更多
关键词 power DOPPLER three-dimensional ultrasound UTERINE PARENCHYMA lump ENDOMETRIAL CARCINOMA BLOOD flow signal parameter
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Quantitative determination of PFC3D microscopic parameters 被引量:7
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作者 LI Zhuo RAO Qiu-hua 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第3期911-925,共15页
It is important to calibrate micro-parameters for applying partied flow code(PFC)to study mechanical characteristics and failure mechanism of rock materials.Uniform design method is firstly adopted to determine the mi... It is important to calibrate micro-parameters for applying partied flow code(PFC)to study mechanical characteristics and failure mechanism of rock materials.Uniform design method is firstly adopted to determine the microscopic parameters of parallel-bonded particle model for three-dimensional discrete element particle flow code(PFC3D).Variation ranges of microscopic of the microscopic parameters are created by analyzing the effects of microscopic parameters on macroscopic parameters(elastic modulus E,Poisson ratio v,uniaxial compressive strengthσc,and ratio of crack initial stress to uniaxial compressive strengthσci/σc)in order to obtain the actual uniform design talbe.The calculation equations of the microscopic and macroscopic parameters of rock materials can be established by the actual uniform design table and the regression analysis and thus the PFC3D microscopic parameters can be quantitatively determined.The PFC3D simulated results of the intact and pre-cracked rock specimens under uniaxial and triaxial compressions(including the macroscopic mechanical parameters,stress−strain curves and failure process)are in good agreement with experimental results,which can prove the validity of the calculation equations of microscopic and macroscopic parameters. 展开更多
关键词 quantitative relationship of microscopic and macroscopic parameters uniform design method three-dimensional particle flow code(PFC3D) ROCK
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The effects of grain texture and phenotypic traits on the thin-layer drying rate in maize(Zea mays L.) inbred lines 被引量:2
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作者 SUN Le-xiu LIU Shuang-xi +3 位作者 WANG Jin-xing WU Cheng-lai LI Yan ZHANG Chun-qing 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2016年第2期317-325,共9页
To explore the relation of maize grain texture and phenotypic traits with grain thin-layer drying rate,we observed the ultra-structure of maize grain,and tested three traits about the maize grain texture and four phen... To explore the relation of maize grain texture and phenotypic traits with grain thin-layer drying rate,we observed the ultra-structure of maize grain,and tested three traits about the maize grain texture and four phenotypic traits.The vitreous part percentage was different(P〈0.05) among different maize inbred lines.There was a significant relationship between the drying rate with grain texture and phenotypic traits.Main factors that influenced the drying rate were different during different drying stages.New results observed that empirical constants(k and N) in drying equation were different for seed of the 30 inbred lines of maize.The k of simplified diffusion equation and N of page equation were significantly influenced by both grain texture and phenotypic traits.These results could be used as guideline parameters for drying maize seeds having different grain characteristics during different drying stages. 展开更多
关键词 maize seeds texture and phenotypic traits drying rate drying parameters
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A fast and precise three-dimensional measurement system based on multiple parallel line lasers 被引量:1
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作者 Yao Wang Bin Lin 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第2期276-284,共9页
This paper conducts a trade-off between efficiency and accuracy of three-dimensional(3 D)shape measurement based on the triangulation principle,and introduces a flying and precise 3 D shape measurement method based on... This paper conducts a trade-off between efficiency and accuracy of three-dimensional(3 D)shape measurement based on the triangulation principle,and introduces a flying and precise 3 D shape measurement method based on multiple parallel line lasers.Firstly,we establish the measurement model of the multiple parallel line lasers system,and introduce the concept that multiple base planes can help to deduce the unified formula of the measurement system and are used in simplifying the process of the calibration.Then,the constraint of the line spatial frequency,which maximizes the measurement efficiency while ensuring accuracy,is determined according to the height distribution of the object.Secondly,the simulation analyzing the variation of the systemic resolution quantitatively under the circumstance of a set of specific parameters is performed,which provides a fundamental thesis for option of the four system parameters.Thirdly,for the application of the precision measurement in the industrial field,additional profiles are acquired to improve the lateral resolution by applying a motor to scan the 3 D surface.Finally,compared with the line laser,the experimental study shows that the present method of obtaining 41220 points per frame improves the measurement efficiency.Furthermore,the accuracy and the process of the calibration are advanced in comparison with the existing multiple-line laser and the structured light makes an accuracy better than 0.22 mm at a distance of 956.02 mm. 展开更多
关键词 three-dimensional shape measurement multiple parallel line lasers fast and precise measurement parameter calibration
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Effect of printing parameters on properties of 3D printing sand samples
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作者 De-quan Shi Yin-yu Hou Gui-li Gao 《China Foundry》 SCIE EI CAS CSCD 2023年第6期553-562,共10页
Three-dimensional sand printing(3DSP)is widely applied in sand mold fabrication.In this study,the effects of printing parameters including the resolution of printehead holes,activator content,layer thickness,and recoa... Three-dimensional sand printing(3DSP)is widely applied in sand mold fabrication.In this study,the effects of printing parameters including the resolution of printehead holes,activator content,layer thickness,and recoating speed on the tensile and bending strengths,gas evolution,and loss-on-ignition(LOI)of 3DSP samples were investigated by changing single parameter,and the dimension deviation was also measured.As the resolution increases,the tensile strength,bending strength,gas evolution,LOI,and deviations at X-and Y-axis directions decrease gradually while the deviation at Z-axis direction firstly increases and then deceases.The gas evolution and LOI drops by 13.02%and 8.13%respectively,but the strength only reduces by 2.2% when the resolution increases from 0.08 mm to 0.09 mm.The strengths of samples rise at first and then decline while the gas evolution and LOI rise gradually with the increasing activator content or recoating speed.The activator content is found to have little effect on the gas evolution as the activator increases from 0.14%to 0.34%,the gas evolution is increased by 7.3%which is far less than the LOI increment of 24.1%.As the layer thickness increases,the tensile and bending strengths firstly rise and then drop while gas evolution and LOI descend.Under the optimal printing parameters of 0.09 mm resolution,0.18%activator,-10.28 mm layer thickness and 160 mm·s^(-1) recoating speed,the tensile strengths for X-sample and Y-sample are 1.48 MPa and 1.37 MPa,the bending strengths are 1.84 MPa and 1.75 MPa,the gas evolution and LOI are-19.62 mL·g^(-1) and 1.92%,respectively. 展开更多
关键词 three-dimensional sand printing printing parameters mechanical properties LOI
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Three-Dimensional Analytical Modeling of Axial-Flux Permanent Magnet Drivers
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作者 Wenhui Li Dazhi Wang +3 位作者 Shuo Cao Deshan Kong Sihan Wang Zhong Hua 《Computers, Materials & Continua》 SCIE EI 2023年第4期259-276,共18页
In this paper, the axial-flux permanent magnet driver is modeledand analyzed in a simple and novel way under three-dimensional cylindricalcoordinates. The inherent three-dimensional characteristics of the deviceare co... In this paper, the axial-flux permanent magnet driver is modeledand analyzed in a simple and novel way under three-dimensional cylindricalcoordinates. The inherent three-dimensional characteristics of the deviceare comprehensively considered, and the governing equations are solved bysimplifying the boundary conditions. The axial magnetization of the sectorshapedpermanent magnets is accurately described in an algebraic form bythe parameters, which makes the physical meaning more explicit than thepurely mathematical expression in general series forms. The parameters of theBessel function are determined simply and the magnetic field distribution ofpermanent magnets and the air-gap is solved. Furthermore, the field solutionsare completely analytical, which provides convenience and satisfactoryaccuracy for modeling a series of electromagnetic performance parameters,such as the axial electromagnetic force density, axial electromagnetic force,and electromagnetic torque. The correctness and accuracy of the analyticalmodels are fully verified by three-dimensional finite element simulations and a15 kW prototype and the results of calculations, simulations, and experimentsunder three methods are highly consistent. The influence of several designparameters on magnetic field distribution and performance is studied and discussed.The results indicate that the modeling method proposed in this papercan calculate the magnetic field distribution and performance accurately andrapidly, which affords an important reference for the design and optimizationof axial-flux permanent magnet drivers. 展开更多
关键词 three-dimensional analytical modeling cylindrical coordinates magnetic field distribution parameter sensitivity analysis performance measurement
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Three-dimensional reconstruction and phenotypic identification of the wheat plant using RealSense D455 sensor
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作者 Ming Li Wanteng Zhang +4 位作者 Weiting Pan Junke Zhu Xubin Song Chunying Wang Ping Liu 《International Journal of Agricultural and Biological Engineering》 2025年第4期254-265,共12页
Accurate and rapid wheat morphology reconstruction and trait collection are essential for selecting varieties,scientific cultivation,and precise management.A single perspective is limited by environmental obstructions... Accurate and rapid wheat morphology reconstruction and trait collection are essential for selecting varieties,scientific cultivation,and precise management.A single perspective is limited by environmental obstructions,hindering the collection of high-throughput phenotype data for wheat plants.Therefore,a rapid reconstruction method of multi-view threedimensional point cloud is proposed to realize the high-throughput and accurate identification of wheat phenotype.Firstly,taking wheat at the tillering stage as the experimental object,a multi-view acquisition system based on a RealSense sensor was constructed,and the point cloud data of wheat were obtained from 16 views.Secondly,a joint photometric and geometric objective was optimized,and space location was registered by colored Point Cloud Registration(colored)and Iterative Closest Point(ICP)algorithms.Furthermore,the Multiple View Stereo(MVS)algorithm was used to combine the depth image,RGB image,and spatial position obtained by coarse registration to enable the fine registration of multi-viewpoint clouds.Compared with the traditional Structure From Motion(SFM)-MVS algorithm,our proposed method is much faster,with an average reconstruction time of 33.82 s.Moreover,the wheat plant height,leaf length,leaf width,leaf area,and leaf angle of wheat were calculated based on the three-dimensional point cloud of the wheat plant.The experimental results showed that the determination coefficients of the method are 0.996,0.958,0.956,0.984,and 0.849,respectively.Finally,phenotypic information such as compact degree,convex hull volume,and average leaf area of different wheat varieties was analyzed and identified,proving that the method could capture the phenotypic differences between varieties and individuals.The proposed method provides a rapid approach to quantify wheat phenotypic traits,aiding breeding,scientific cultivation,and environmental management. 展开更多
关键词 wheat plant RealSense sensor MVS three-dimensional point cloud phenotypic traits
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基于图结构引导的稻穗骨架解析与关键表型参数无损测量方法
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作者 周云成 李瑞阳 +2 位作者 张羽 梁铖玮 王珏 《农业机械学报》 北大核心 2026年第1期92-103,共12页
穗部表型参数的高通量、无损获取是水稻育种与表型组学研究的关键环节。针对传统人工测量方法效率低、破坏性强,以及现有图像法依赖人工先验、灵活性差等问题,提出一种基于图结构引导的稻穗骨架解析与关键表型参数无损测量方法。首先,在... 穗部表型参数的高通量、无损获取是水稻育种与表型组学研究的关键环节。针对传统人工测量方法效率低、破坏性强,以及现有图像法依赖人工先验、灵活性差等问题,提出一种基于图结构引导的稻穗骨架解析与关键表型参数无损测量方法。首先,在YOLO v9模型基础上,引入混合背景数据增广与WIoU损失,训练出鲁棒性更强的穗节与穗颈节关键点检测模型;其次,对稻穗图像进行阈值分割与细化,提取其骨架并构建无向图拓扑结构;最后,将模型检测到的关键点与骨架拓扑图深度融合,判别关键点类别,并辅助图论算法自动识别提取穗轴、一次枝梗与二次枝梗,依据标定物实现像素尺度至物理尺度的转换。试验结果表明,优化后的关键点检测模型在穗颈节与穗节检测上的mAP较基准模型分别提高4.5、2.4个百分点,召回率分别提升7.8、4.0个百分点,关键点正确检测比例分别提升4.6、5.0个百分点。在结构计数方面,穗节点计数实现零误差,一次枝梗与二次枝梗计数的平均相对误差分别不超过0.39%、2.38%。在尺度参数测量中,稻穗的一次枝梗、二次枝梗、穗轴长度及穗节间长度的平均相对误差可控制在3.2%、7.5%、3.1%与5.2%以内,平均绝对误差分别不超过2.9、2.3、2.3、1.6 mm。本研究实现了稻穗关键表型参数的自动无损提取,可为稻穗表型分析提供一种技术方案。 展开更多
关键词 水稻 稻穗 表型参数 图结构引导 目标检测
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Rapid estimation of apple phenotypic parameters based on 3D reconstruction 被引量:6
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作者 Hao Ma Xu Zhu +3 位作者 Jiangtao Ji Hui Wang Xin Jin Kaixuan Zhao 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2021年第5期180-188,共9页
In order to obtain the phenotypic parameters of apple quickly and accurately,which were commonly used as the basis of fruit sorting,a fast estimation method of apple phenotypic parameters based on three-dimensional(3D... In order to obtain the phenotypic parameters of apple quickly and accurately,which were commonly used as the basis of fruit sorting,a fast estimation method of apple phenotypic parameters based on three-dimensional(3D)reconstruction was proposed in this study.In this study,a three-dimensional model was constructed to estimate the phenotypic parameters of apple,such as volume,height,diameter,and fruit shape index.Firstly,an image acquisition system was built to capture sequence images of fruit with a binocular stereo vision system,and the images were extracted and matched using the Accelerated-KAZE algorithm to create the point cloud data.Secondly,the point cloud data were matched with the algorithm of Iterative Closest Point to establish a whole model of apple,and the surface reconstruction model of fruit was obtained by constructing irregular triangulation network.Finally,the apple phenotypic parameters were calculated by means of segmentation,surface complement and integral of the fruit model.Total of 200 apples were used as samples in the experiment.By this method,the phenotypic parameters of the apples were estimated based on their 3D reconstruction model,and the linear regression analysis was carried out between the estimated values and the real values.The results showed that R2 of the linear regression fitting of each parameter was higher than 0.90.Among them,the fitting of volume was the best with R2 of 0.97.In addition,the average errors of apple volume,height,fruit shape index,maximum diameter D and minimum diameter d were 8.73 cm3,1.43 mm,1.28%,0.90 mm,and 1.23 mm,respectively.According to the Chinese national standard of“fresh Apple”,the average error of the estimated result is within the range of allowable error.It indicates that the method of apple phenotypic parameter estimation based on 3D reconstruction has a high accuracy and practicability,and it can be used as the support for fruit sorting. 展开更多
关键词 APPLE 3D reconstruction phenotypic parameter stereo vision system sequence image SORTING
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Measurement of the banana pseudo-stem phenotypic parameters based on ellipse model 被引量:1
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作者 Yinlong Jiang Jieli Duan +3 位作者 Xing Xu Yunhe Ding Yang Li Zhou Yang 《International Journal of Agricultural and Biological Engineering》 SCIE CAS 2022年第3期195-202,共8页
The measurement of banana pseudo-stem phenotypic parameters is a critical way to evaluate the growth status of bananas,and it can provide essential data support for mechanized cultivation operations such as fertilizat... The measurement of banana pseudo-stem phenotypic parameters is a critical way to evaluate the growth status of bananas,and it can provide essential data support for mechanized cultivation operations such as fertilization and pesticide application.Existing studies mainly measure the diameter of banana pseudo-stem as its phenotypic parameter.The banana pseudo-stem cross section was closer to an ellipse other than a standard circle,so the diameter parameter cannot adequately represent the phenotypic characteristics of the banana plant.In this study,an automatic measuring device for banana pseudo-stem phenotypic parameters was developed.The device,which integrates three different types of sensors:a laser ranging sensor,a rotary encoder,and a digital camera,were used to obtain the point cloud and image data of banana pseudo-stem.A K-means point clouds clustering algorithm based on Euclidean distance was proposed.The point cloud of banana pseudo-stem was identified and extracted.A three-dimensional reconstruction algorithm based on the ellipse model was also proposed.The three-dimensional contour of the pseudo-stem was calculated to obtain three types of phenotypic parameters:the long axis length,the short axis length,and the perimeter.Further,a synchronous trigger image acquisition mechanism was used to take pictures of pseudo-stems during measurement.It can be utilized for manual assessment of the growth status of the banana.Field experimental results showed that the three banana phenotypic parameters had a high correlation with the manual measurement results,and R^(2)is always more significant than 0.95,the total average measurement error and relative error were only 6.16 mm and 4.38%,respectively,both are within the acceptable agronomy range.In general,this method has good universality for plant stem detection,and the stem phenotypic parameters can be obtained by means of non-contact test,which is of great significance to the mechanized cultivation of the forest and fruit industry. 展开更多
关键词 multi-sensor fusion point cloud fitting phenotypic parameter extraction banana pseudo-stem ellipse model
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基于三维点云的黄瓜叶片分割与表型参数提取方法 被引量:4
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作者 王纪章 姚承志 +2 位作者 周静 黄志刚 陈勇明 《农业机械学报》 北大核心 2025年第3期354-362,共9页
自动获取植株冠层表型形状对黄瓜育种和科学栽培至关重要。由于当前三维点云处理技术难以在黄瓜植株点云上对茎叶进行有效分离,分割准确率和效率较低。本文提出了一种改进的区域生长分割算法,并对分割后叶片进行表型提取。首先通过深度... 自动获取植株冠层表型形状对黄瓜育种和科学栽培至关重要。由于当前三维点云处理技术难以在黄瓜植株点云上对茎叶进行有效分离,分割准确率和效率较低。本文提出了一种改进的区域生长分割算法,并对分割后叶片进行表型提取。首先通过深度相机从4个角度采集黄瓜点云数据,在统计滤波和颜色滤波去除背景噪声以及离群点的基础上,基于旋转轴和广义最近点迭代(Generalized nearest point iterative,GICP)算法对点云进行配准获取完整黄瓜植株点云;使用体素和移动最小二乘算法(Moving lest squares,MLS)对区域生长算法进行改进,实现茎叶分离与叶片分割;分割后叶片点云自动提取叶片数量、叶面积、叶长、叶宽、叶周长表型参数。实验结果表明,与传统区域生长算法相比,改进区域生长算法可以精准地分割出单个叶片,对移栽15 d的准确率平均提升12.5个百分点,对移栽60 d的准确率平均提升22.5个百分点。叶面积、叶长、叶宽、叶周长4个参数与真实测量值相比决定系数R^(2)分别为0.96、0.93、0.93、0.94,均方根误差(RMSE)分别为12.69 cm^(2)、0.93 cm、0.98 cm、2.27 cm。本文提出的方法能够从单株黄瓜点云中高效地分割出单个叶片点云,并准确地计算相关表型性状,为温室黄瓜高通量自动化表型测量提供有力的技术支持。 展开更多
关键词 黄瓜叶片 三维点云 表型参数 分割
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基于SwinPoinTr的视角受限下杏鲍菇表型参数测量方法 被引量:2
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作者 谢立敏 黄轶 +2 位作者 吴昊宇 叶大鹏 方兵 《农业机械学报》 北大核心 2025年第3期148-157,共10页
针对菇房内杏鲍菇表型参数测量任务中,由于扫描设备视角受限,扫描的杏鲍菇点云出现残缺问题,基于AdaPoinTr(Adaptive geometry-aware point transformers)提出了改进的SwinPoinTr模型,实现了对残缺杏鲍菇点云的准确补全和杏鲍菇表型参... 针对菇房内杏鲍菇表型参数测量任务中,由于扫描设备视角受限,扫描的杏鲍菇点云出现残缺问题,基于AdaPoinTr(Adaptive geometry-aware point transformers)提出了改进的SwinPoinTr模型,实现了对残缺杏鲍菇点云的准确补全和杏鲍菇表型参数的测量。该方法在使用提出的特征重塑模块的基础上,构建具有几何感知能力的层次化Transformer编码模块,提高了模型对输入点云的利用率和模型捕捉点云细节特征的能力。然后基于泊松重建方法完成了补全点云表面重建,并测量到杏鲍菇表型参数。实验结果表明,本文所提算法在残缺杏鲍菇点云补全任务中,模型倒角距离为1.316×10^(-4),地球移动距离为21.3282,F1分数为87.87%。在表型参数估测任务中,模型对杏鲍菇菌高、体积、表面积估测结果的决定系数分别为0.9582、0.9596、0.9605,均方根误差分别为4.4213 mm、10.8185 cm^(3)、7.5778 cm^(2)。结果证实了该研究方法可以有效地补全残缺的杏鲍菇点云,可以为菇房内杏鲍菇表型参数测量提供基础。 展开更多
关键词 杏鲍菇 智慧菇房 表型参数 点云补全 泊松重建 SwinPoinTr
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基于神经辐射场和路径分析的油茶树表型参数提取 被引量:1
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作者 朱幸辉 张杨聪 +1 位作者 谭泗桥 李斌 《农业工程学报》 北大核心 2025年第4期201-210,共10页
为提取油茶树的表型参数,解决复杂冠层结构植物和田间环境下表型提取速度慢且精度低的问题,该研究将传统的重建算法和聚类分割算法进行改进,提出一种基于神经辐射场和路径分析的表型参数提取方法。通过多视角相机获取油茶树图像,训练神... 为提取油茶树的表型参数,解决复杂冠层结构植物和田间环境下表型提取速度慢且精度低的问题,该研究将传统的重建算法和聚类分割算法进行改进,提出一种基于神经辐射场和路径分析的表型参数提取方法。通过多视角相机获取油茶树图像,训练神经辐射场生成三维点云模型,然后采用路径分析方法分割树干和叶片点云,提取油茶树的表型参数。试验结果表明:相比基于运动结构恢复的多视立体几何方法,采用神经辐射场重建的时间平均减少约90%,自由视角渲染图像峰值信噪比提升约10%。茎叶分割结果在召回率、精确率和分割时间等指标上优于几何特征法和区域生长法。计算的树高、冠幅、冠层高度和树干与人工测量结果的误差分别为0.519%、0.325%、0.364%、4.491%,叶长、叶宽、叶面积和叶形指数的决定系数分别为0.98、0.94、0.97、0.93。该方法不仅能快速构建真实形态的油茶树点云模型,而且能精准获取油茶树各器官的表型参数,可为复杂冠层植物的田间表型研究提供参考。 展开更多
关键词 油茶树 三维重建 神经辐射场 路径分析 表型参数
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基于低成本多视角立体视觉的辣椒苗三维重建与策略优化 被引量:1
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作者 朱磊 程瑞英 +3 位作者 丁一民 孙振源 郭政 江伟 《中国农村水利水电》 北大核心 2025年第4期123-129,共7页
基于立体视觉的三维重建技术有效降低了植株表型无损测量中的影像获取成本,但算力消耗较大。开展三维重建策略优化研究,对于提高植株表型信息的采集效率具有重要意义。研究构建了以手机为影像获取手段的多视角成像系统,获取了30株辣椒... 基于立体视觉的三维重建技术有效降低了植株表型无损测量中的影像获取成本,但算力消耗较大。开展三维重建策略优化研究,对于提高植株表型信息的采集效率具有重要意义。研究构建了以手机为影像获取手段的多视角成像系统,获取了30株辣椒苗的影像数据,进一步结合运动恢复结构与多视图立体视觉(SFM-MVS,Structure From Motion-MultiPle View Stereo)算法,在2160个不同分辨率和不同数量影像组合情景下,分别重建了辣椒苗三维点云。通过重建速度、精度、稳定性以及植株表型参数(叶长、叶宽)准确性的评估,优化植株三维点云重建方案。结果表明,当分辨率为480 p,图片数量大于45幅时,重建成功率达到80%,点云间平均距离误差均小于0.05 cm,提取的表型参数值与实测值的R2均到了0.96以上。同时,该情景下单株平均重建时间为344 s,仅为参照情景(分辨率为1080 p、图片数量为120幅)耗时的10%。综上,在辣椒苗的重建中可将分辨率和图像数量分别设置为480 p和45,从而优化表型测量效率。研究结果可为基于三维重建的辣椒苗表型参数快速无损测量提供参考。 展开更多
关键词 三维重建 多视角立体视觉 点云模型 表型参数
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基于FDC-Mamba的关龙胆根茎实例分割与表型参数提取
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作者 崔红光 刘海涛 +3 位作者 马有泽 黄文忠 李宏博 王铁军 《农业机械学报》 北大核心 2025年第10期500-511,共12页
针对关龙胆根茎中茎痕与残留茎基表型特征高度相似,且根茎尺寸小、形态复杂,导致图像分割特征提取困难、识别精度不足等问题,本文提出了焦点调制-动态检测头-上下文引导-Mamba(Focal Modulation-DyHead seg-Context Guided-Mamba,FDC-Ma... 针对关龙胆根茎中茎痕与残留茎基表型特征高度相似,且根茎尺寸小、形态复杂,导致图像分割特征提取困难、识别精度不足等问题,本文提出了焦点调制-动态检测头-上下文引导-Mamba(Focal Modulation-DyHead seg-Context Guided-Mamba,FDC-Mamba)关龙胆根茎实例分割模型。首先,为解决关龙胆相邻根丝边界模糊、缠绕部位重叠问题,引入目标检测型Mamba(Object detection Mamba,ODMamba)主干网络补充纹理细节,加强结构一致性;其次,通过融合Focal Modulation与Context Guided结构部分,增强多尺度感知能力和细节分割能力;最后,将DyHead结构结合辅助检测头(Auxiliary Head)训练策略,开发一种用于实例分割新训练结构DyHead seg,提高信息传递效率、优化学习过程。与其他常用实例分割模型(YOLO系列、Mask R-CNN、PointRend、HTC、SOLOv2、RT-DETR、HYPER)、不同特征金字塔架构模块(RepBN、AIFI、LSKA)、不同下采样结构模块(SRFD、ADown、CARAFE、EUCB、Gold-YOLO、HWD、PSConv、SODConv、WaveletPool)在关龙胆根茎数据集上进行对比,改进后模型完成了对关龙胆根茎实例分割,在根茎边缘和细小区域定位方面具有更高准确度,Box类型和Mask类型精度P、AP50、AP95分别提升6.52、5.09、5.44个百分点和4.49、2.68、1.16个百分点。基于分割结果,提出了关龙胆根长、根部粗细度、含杂率和色度4种表型参数提取方法。试验结果表明,所提出模型分割精度(Mask类型P)达87.12%,比基线模型高4.49个百分点。关龙胆表型参数提取结果与人工测量结果相对误差均在5%以内。本文对以关龙胆为代表的根茎类中药材表型特征提取具有较高的准确性,可为后续炮制工艺与装备研发奠定基础。 展开更多
关键词 关龙胆 实例分割 表型参数提取 深度学习 FDC-Mamba
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