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Single-channel vector magnetic information detection method based on diamond NV color center 被引量:2
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作者 Qin-Qin Wang Rui-Rong Wang +8 位作者 Jin-Ping Liu Shao-Zhuo Lin Liang-Wei Wu Hao Guo Zhong-Hao Li Huan-Fei Wen Jun Tang Zong-Min Ma Jun Liu 《Chinese Physics B》 SCIE EI CAS CSCD 2021年第8期275-281,共7页
A method of detecting the single channel triaxial magnetic field information based on diamond nitrogen-vacancy(NV)color center is introduced.Firstly,the incident angle of the bias magnetic field which can achieve the ... A method of detecting the single channel triaxial magnetic field information based on diamond nitrogen-vacancy(NV)color center is introduced.Firstly,the incident angle of the bias magnetic field which can achieve the equal frequency difference optically-detected magnetic resonance(ODMR)spectrum of diamond NV color center is calculated theoretically,and the triaxial magnetic information solution model is also constructed.Secondly,the microwave time-controlled circuit module is designed to generate equal timing and equal frequency difference microwave pulse signals in one channel.Combining with the optical detection magnetic resonance technology,the purpose of sequentially locking and detecting the four formant signals on one side of the diamond NV color center(m_(s)=-1 state signal)is achieved,and the vector magnetic field information detection is accomplished by combining the triaxial magnetic information solution model.The system can obtain magnetic field detection in a range of 0 mT-0.82 mT.The system's magnetic noise sensitivity is 14.2 nT/Hz^(1/2),and the deviation angle errors of magnetic field detectionθ_(x) andθ_(y) are 1.3° and 8.2° respectively. 展开更多
关键词 nitrogen-vacancy(NV)color center vector electron spin magnetic detection
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LIC color texture enhancement algorithm for ocean vector field data based on HSV color mapping and cumulative distribution function 被引量:1
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作者 Hongbo Zheng Qin Shao +4 位作者 Jie Chen Yangyang Shan Xujia Qin Ji Ma Xiaogang Xu 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2022年第10期171-180,共10页
Texture-based visualization method is a common method in the visualization of vector field data.Aiming at adding color mapping to the texture of ocean vector field and solving the ambiguity of vector direction in text... Texture-based visualization method is a common method in the visualization of vector field data.Aiming at adding color mapping to the texture of ocean vector field and solving the ambiguity of vector direction in texture image,a new color texture enhancement algorithm based on the Line Integral Convolution(LIC)for the vector field data is proposed,which combines the HSV color mapping and cumulative distribution function calculation of vector field data.This algorithm can be summarized as follows:firstly,the vector field data is convoluted twice by line integration to get the gray texture image.Secondly,the method of mapping vector data to each component of the HSV color space is established.And then,the vector field data is mapped into HSV color space and converted from HSV to RGB values to get the color image.Thirdly,the cumulative distribution function of the RGB color components of the gray texture image and the color image is constructed to enhance the gray texture and RGB color values.Finally,both the gray texture image and the color image are fused to get the color texture.The experimental results show that the proposed LIC color texture enhancement algorithm is capable of generating a better display of vector field data.Furthermore,the ambiguity of vector direction in the texture images is solved and the direction information of the vector field is expressed more accurately. 展开更多
关键词 ocean vector field visualization texture enhancement color mapping line integral convolution
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DCS中图元三维效果的GDI+实现 被引量:2
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作者 杨春蕾 曹建立 《微计算机信息》 北大核心 2007年第05X期298-300,共3页
在DCS系统的MMI站点,人机界面的友好性、直观易用性是对一套组态软件的基本功能要求。为了实现工业现场设备的形象模拟,本文基于.NET框架下的GDI+函数集,讨论了VisualC++下利用渐变色实现图元三维立体效果的方法和技巧。实践证明,这些... 在DCS系统的MMI站点,人机界面的友好性、直观易用性是对一套组态软件的基本功能要求。为了实现工业现场设备的形象模拟,本文基于.NET框架下的GDI+函数集,讨论了VisualC++下利用渐变色实现图元三维立体效果的方法和技巧。实践证明,这些方法实现代价合理,有较好的实用价值。 展开更多
关键词 DCS 组态 渐变色 gdi+
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Estimation of illumination chromaticity via adaptive reduced relevance vector machine
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作者 丁二锐 曾平 +1 位作者 姚勇 王义峰 《Journal of Southeast University(English Edition)》 EI CAS 2007年第2期202-205,共4页
A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. Within the framework of sparse Bayesian ... A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. Within the framework of sparse Bayesian learning, the algorithm extends the relevance vector machine by combining global and local kernels adaptively in the form of multiple kernels, and the improved locality preserving projection (LLP) is then applied to reduce the column dimension of the multiple kernel input matrix to achieve less training time. To estimate the illumination chromaticity, the algorithm is trained by fuzzy central values of chromaticity histograms of a set of images and the corresponding illuminants. Experiments with real images indicate that the proposed algorithm performs better than the support vector machine and the relevance vector machine while requiring less training time than the relevance vector machine. 展开更多
关键词 color constancy illumination estimation chromaticity histogram adaptive reduced relevance vector machine
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基于GDI+的数字地图符号设计 被引量:4
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作者 扈洋 刘强 +2 位作者 党舟 闫斌 张文火 《地理信息世界》 2010年第3期20-24,共5页
GDI+对矢量绘制提供了很好的支持,支持无锯齿、渐变、梯度、混合、透明等各种图像效果。能够自定义线条样式,支持线头和线冒,能够设置线条拐角处的连接样式。GDI+这一系列的新特性,简化了矢量图形系统的开发,减小了地图符号系统设计的难... GDI+对矢量绘制提供了很好的支持,支持无锯齿、渐变、梯度、混合、透明等各种图像效果。能够自定义线条样式,支持线头和线冒,能够设置线条拐角处的连接样式。GDI+这一系列的新特性,简化了矢量图形系统的开发,减小了地图符号系统设计的难度,提高了开发效率。本文通过对点线面符号构成的研究和分析,利用GDI+新的特性,设计出美观高效的点、线、面等地图符号。通过对比和实践得出该方法能满足一般地图制图对符号的需求,并且取得令人满意的显示效果。 展开更多
关键词 矢量地图 gdi+ 地图可视化 地图符号
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基于GDI_+的矢量综合录井图绘制系统的设计与实现 被引量:5
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作者 董高祯 《录井工程》 2013年第1期69-72,89,共4页
通过分析GDI+绘图技术的原理,阐述了矢量格式综合录井图的实现方法。整个系统采用Microsoft.NET平台和面向对象的设计方式,以面向对象的角度将综合录井图划分为图头表格、数据曲线、图例填充、文本等形式。针对各种不同的综合录井图格式... 通过分析GDI+绘图技术的原理,阐述了矢量格式综合录井图的实现方法。整个系统采用Microsoft.NET平台和面向对象的设计方式,以面向对象的角度将综合录井图划分为图头表格、数据曲线、图例填充、文本等形式。针对各种不同的综合录井图格式,系统采用模板驱动的方式装载格式和数据,通过ADO.NET按照加载末班内的对象格式读取数据,并根据不同的对象属性进行图形输出。并结合Microsoft.NET开发平台和XML技术,通过矢量图例编辑、自定义录井图格式和成图打印,实现了矢量综合录井图绘制系统。该系统为后期油气勘探、精确解释提供了直观准确的电子图件成果资料。 展开更多
关键词 电子绘图系统 gdi+ 矢量图形 综合录井图 MICROSOFT.NET XML
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Automatic Quality Inspection of Bakery Products Based on Shape and Color Information 被引量:2
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作者 Babar Khan Fang Han +1 位作者 Zhijie Wang Ather Iqbal 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2017年第5期88-96,共9页
An automatic intelligent system for the colour and texture inspection of bakery products is proposed.In this system,advance classification technique featuring Support Vector Machine and biologically inspired HMAX base... An automatic intelligent system for the colour and texture inspection of bakery products is proposed.In this system,advance classification technique featuring Support Vector Machine and biologically inspired HMAX based shape descriptor integrated with biologically plausible RGB Opponent-Colour-Channel Descriptor is used to classify bakery products to their respective classes based on the shape and based on their colour referring to different baking durations. The results of this paper are compared with other methods for the automatic bakery products inspection. It is discovered that biologically inspired computer vision models performs accurately and efficiently as compared to the computer vision models which are not biologically plausible,in the bakery products quality inspection. It is also discovered that the One Versus One SVM and Directed Acyclic Graph SVM acquired the maximum accurate classification rate. The proposed method acquired classification accuracy of 95% and 100% for the biscuit shape and biscuit colour recognition,respectively. The proposed method is also consistently stable and invariant. This shows that the biologically inspired computer vision models have the capability to replace existing inspection methods as more reliable and accurate alternative. 展开更多
关键词 BAKERY products quality inspection computer VISION HMAX OPPONENT color channel RGB color DESCRIPTOR Support vector Machine (SVM)
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New targets number estimation method under colored noise background 被引量:1
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作者 Jing Wang Jianguo Huang Jing Han Zhenhua Xu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第6期831-837,共7页
A multiple targets detection method based on spatial smoothing (MTDSS) is proposed to solve the problem of the source number estimation under the colored noise background. The forward and backward smoothing based on... A multiple targets detection method based on spatial smoothing (MTDSS) is proposed to solve the problem of the source number estimation under the colored noise background. The forward and backward smoothing based on auxiliary vectors which are received data on some specific elements is computed. By the spatial smoothing with auxiliary vectors, the correlated signals are decorrelated, and the colored noise is partially alleviated. The correlation matrix formed from the cross correlations between subarray data and auxiliary vectors is computed. By exploring the second-order statistics property of the covariance matrix, a threshold based on Gerschgorin radii of the smoothing correlation matrix is set to estimate the number of sources. Simulations and experimental results validate that MTDSS has an effective performance under the condition of the colored noise background and coherent sources, and MTDSS is robust with the correlated factor of signals and noise. 展开更多
关键词 colored noise auxiliary vector multiple targets detec-tion spatial smoothing Gerschgorin radii.
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Soft measurement for component content based on adaptive model of Pr/Nd color features 被引量:5
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作者 陆荣秀 杨辉 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2015年第12期1981-1986,共6页
For measurement of component content in the extraction and separation process of praseodymium/neodymium(Pr/Nd), a soft measurement method was proposed based on modeling of ion color features, which is suitable for fas... For measurement of component content in the extraction and separation process of praseodymium/neodymium(Pr/Nd), a soft measurement method was proposed based on modeling of ion color features, which is suitable for fast estimation of component content in production field. Feature analysis on images of the solution is conducted,which are captured from Pr/Nd extraction/separation field. H/S components in the HSI color space are selected as model inputs, so as to establish the least squares support vector machine(LSSVM) model for Nd(Pr) content,while the model parameters are determined with the GA algorithm. To improve the adaptability of the model,the adaptive iteration algorithm is used to correct parameters of the LSSVM model, on the basis of model correction strategy and new sample data. Using the field data collected from rare earth extraction production, predictive methods for component content and comparisons are given. The results indicate that the proposed method presents good adaptability and high prediction precision, so it is applicable to the fast detection of element content in the rare earth extraction. 展开更多
关键词 Pr/Nd extraction color feature Component content Adaptive iterative least squares support vector machine Real-time correction
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基于MS.NET的GDI+在电力系统矢量图中的应用 被引量:1
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作者 胡润滋 胡鹏飞 《重庆电力高等专科学校学报》 2012年第2期91-94,共4页
介绍Windows图形设备接口技术GDI+(Graphical Device Interface)在基于MS.NET的电力系统矢量图形系统中的具体应用,分析其优点,指出其在这一领域里具有较好的实用价值。
关键词 gdi+ MS.NET 电力系统 矢量图 ADO.NET
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Improved color feature arrangement for mean shift tracking
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作者 Xiaowei An Youngjoon Han Hernsoo Hahn 《Journal of Measurement Science and Instrumentation》 CAS 2013年第1期38-42,共5页
In order to reduce redundant empty bin capacity arrangement mechanism for mean shift tracking objects in the probability representation, we present a new color feature In the proposed mechanism, the important optimal ... In order to reduce redundant empty bin capacity arrangement mechanism for mean shift tracking objects in the probability representation, we present a new color feature In the proposed mechanism, the important optimal color, or we call it optimal color vector, is clustered by closing Euclidean distance which happens inside the original RGB color 3-D spatial domain. After obtaining clustering colors from the reference image RGB spatial domain, novel clustering groups substitute for original color data. So the new color substitution distribution is as similar as the original one. And then target region in the candidate frame is mapped by the constructed optimal clustering colors and the cluster Indices. In the final, mean shift algorithm gives a performance in the new optimal color distribution. Comparison under the same circumstance between the proposed algorithm and conventional mean shift algorithm shows that the former has a certain advantage in computation cost. 展开更多
关键词 color feature arrangement optimal color vector CLUSTER redundant bin
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A New Method of Color Edge Detection Based on Local Structure Analysis
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作者 江舒 周越 朱巍巍 《Journal of Donghua University(English Edition)》 EI CAS 2008年第6期718-725,共8页
Human's real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today's digital image processing, image segmentation is an im... Human's real life is within a colorful world. Compared to the gray images, color images contain more information and have better visual effects. In today's digital image processing, image segmentation is an important section for computers to "understand" images and edge detection is always one of the most important methods in the field of image segmentation. Edges in color images are considered as local discontinuities both in color and spatial domains. Despite the intensive study based on integration of single-channel edge detection results, and on vector space analysis, edge detection in color images remains as a challenging issue. 展开更多
关键词 color edge detection local structure analysis local homogeneity color difference vector
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Color Digital Watermarking Based on Amplitude Modulation and SVR 被引量:1
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作者 Yilin Bei Shengju Sang 《通讯和计算机(中英文版)》 2010年第2期37-42,共6页
关键词 彩色数字水印 振幅调制 SVR 支持向量回归 彩色图像水印 人类视觉系统 回归模型 预测技术
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Smart Clothing Fabric Color Matching with Reference to Popular Colors
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作者 ZHANG Yani ZHUANG Jianqiang +2 位作者 HUANG Rong DONG Aihua YUAN Haodong 《Journal of Donghua University(English Edition)》 CAS 2022年第4期317-324,共8页
Color economy and market fashion trend have an increasing impact on clothing fabric color matching.Therefore,a smart clothing fabric color matching system with reference to popular colors is designed to realize the di... Color economy and market fashion trend have an increasing impact on clothing fabric color matching.Therefore,a smart clothing fabric color matching system with reference to popular colors is designed to realize the diversification of clothing color matching,which includes a palette generation module and a clothing fabrics-palette color matching network(CF-PCN).Firstly,palette generation module generates palettes referring popular colors while maintains color styles of clothing fabrics.Secondly,CF-PCN generates color matching images containing color information of palettes.The experimental results show that the color matching system has a higher average pixel ratio of palette colors and contains more palette color information.It demonstrates that the system achieves color matching innovation referring popular colors while retaining color style of clothing brands and provides designers with appropriate color matching solutions. 展开更多
关键词 popular color clothing fabric color matching support vector machine(SVM) discrete particle swarm optimization algorithm generative adversarial network
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Accurate Tools for Analyzing the Behavior of Impulse Noise Reduction Filters in Color Images
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作者 Fabrizio Russo 《Journal of Signal and Information Processing》 2013年第1期42-50,共9页
Effective cancellation of noise and preservation of color/structural information are features of paramount importance for any filter devoted to impulse noise removal in color images. In this paper novel full-reference... Effective cancellation of noise and preservation of color/structural information are features of paramount importance for any filter devoted to impulse noise removal in color images. In this paper novel full-reference tools for analyzing the behavior of this family of filters are presented. The proposed approach is based on the classification of color errors into two main classes that separately take into account the inaccuracy in removing noise pulses and the filtering distortion. The distortion errors are then classified into two subclasses for a deeper analysis of the filtering behavior. Computer simulations show that the proposed method gives more accurate results than using other measures of filtering performance in the literature. Furthermore, the method can easily yield the spatial location of the different filtering features in the image. 展开更多
关键词 color IMAGE DENOISING IMAGE Analysis vector FILTERS IMPULSE Noise
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Political Optimizer with Deep Learning-Enabled Tongue Color Image Analysis Model
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作者 Anwer Mustafa Hilal Eatedal Alabdulkreem +5 位作者 Jaber S.Alzahrani Majdy M.Eltahir Mohamed I.Eldesouki Ishfaq Yaseen Abdelwahed Motwakel Radwa Marzouk 《Computer Systems Science & Engineering》 SCIE EI 2023年第5期1129-1143,共15页
Biomedical image processing is widely utilized for disease detection and classification of biomedical images.Tongue color image analysis is an effective and non-invasive tool for carrying out secondary detection at an... Biomedical image processing is widely utilized for disease detection and classification of biomedical images.Tongue color image analysis is an effective and non-invasive tool for carrying out secondary detection at anytime and anywhere.For removing the qualitative aspect,tongue images are quantitatively inspected,proposing a novel disease classification model in an automated way is preferable.This article introduces a novel political optimizer with deep learning enabled tongue color image analysis(PODL-TCIA)technique.The presented PODL-TCIA model purposes to detect the occurrence of the disease by examining the color of the tongue.To attain this,the PODL-TCIA model initially performs image pre-processing to enhance medical image quality.Followed by,Inception with ResNet-v2 model is employed for feature extraction.Besides,political optimizer(PO)with twin support vector machine(TSVM)model is exploited for image classification process,shows the novelty of the work.The design of PO algorithm assists in the optimal parameter selection of the TSVM model.For ensuring the enhanced outcomes of the PODL-TCIA model,a wide-ranging experimental analysis was applied and the outcomes reported the betterment of the PODL-TCIA model over the recent approaches. 展开更多
关键词 Tongue color image analysis political optimizer twin support vector machine inception model deep learning
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Hybrid Color Texture Features Classification Through ANN for Melanoma
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作者 Saleem Mustafa Arfan Jaffar +3 位作者 Muhammad Waseem Iqbal Asma Abubakar Abdullah S.Alshahrani Ahmed Alghamdi 《Intelligent Automation & Soft Computing》 SCIE 2023年第2期2205-2218,共14页
Melanoma is of the lethal and rare types of skin cancer.It is curable at an initial stage and the patient can survive easily.It is very difficult to screen all skin lesion patients due to costly treatment.Clinicians ar... Melanoma is of the lethal and rare types of skin cancer.It is curable at an initial stage and the patient can survive easily.It is very difficult to screen all skin lesion patients due to costly treatment.Clinicians are requiring a correct method for the right treatment for dermoscopic clinical features such as lesion borders,pigment networks,and the color of melanoma.These challenges are required an automated system to classify the clinical features of melanoma and non-melanoma disease.The trained clinicians can overcome the issues such as low contrast,lesions varying in size,color,and the existence of several objects like hair,reflections,air bubbles,and oils on almost all images.Active contour is one of the suitable methods with some drawbacks for the segmentation of irre-gular shapes.An entropy and morphology-based automated mask selection is pro-posed for the active contour method.The proposed method can improve the overall segmentation along with the boundary of melanoma images.In this study,features have been extracted to perform the classification on different texture scales like Gray level co-occurrence matrix(GLCM)and Local binary pattern(LBP).When four different moments pull out in six different color spaces like HSV,Lin RGB,YIQ,YCbCr,XYZ,and CIE L*a*b then global information from different colors channels have been combined.Therefore,hybrid fused texture features;such as local,color feature as global,shape features,and Artificial neural network(ANN)as classifiers have been proposed for the categorization of the malignant and non-malignant.Experimentations had been carried out on datasets Dermis,DermQuest,and PH2.The results of our advanced method showed super-iority and contrast with the existing state-of-the-art techniques. 展开更多
关键词 Gray level co-occurrence matrix local binary pattern artificial neural networks support vector machines color skin cancer dermoscopic
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基于VB GDI+矢量图形的设计与实现
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作者 吴旭烨 蔡志荣 《数字技术与应用》 2012年第12期146-147,共2页
GDI+具有丰富的矢量图形绘制功能,通过VB开发语言和GDI+的结合,完成矢量图形的设计与制作。
关键词 gdi+矢量图
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基于频率响应与图像特征提取的动车组变压器绕组状态诊断方法研究 被引量:1
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作者 郭蕾 蔡育宏 +3 位作者 张俊 赵晨 王东阳 周利军 《铁道学报》 EI CAS CSCD 北大核心 2024年第4期47-56,共10页
动车组变压器是保障高速铁路稳定运行的核心设备,频率响应法是目前检测变压器绕组状态的有效方法。为提升车载变压器绕组状态诊断的准确性,结合暂态信号与频率响应法提出基于频率响应与图像特征提取的动车组变压器绕组状态诊断方法。搭... 动车组变压器是保障高速铁路稳定运行的核心设备,频率响应法是目前检测变压器绕组状态的有效方法。为提升车载变压器绕组状态诊断的准确性,结合暂态信号与频率响应法提出基于频率响应与图像特征提取的动车组变压器绕组状态诊断方法。搭建试验车载变压器绕组故障模拟平台,获取不同故障类型和故障位置的频响曲线,利用类Gram矩阵结合幅频和相频曲线信息,再利用密度分层法转换为伪彩色图,提取对应的灰度共生矩阵和灰度差分矩阵特征值,根据鹈鹕优化支持向量机方法对绕组故障进行诊断。试验结果表明:车载变压器绕组故障发生时,伪彩色图能够反映出故障信息,有利于图像分析和特征提取,采用基于频率响应与图像特征提取的动车组变压器绕组状态诊断方法能够识别车载变压器绕组的典型故障类型和位置。 展开更多
关键词 车载变压器 绕组故障 频率响应 伪彩色图 图像特征 支持向量机 鹈鹕算法
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机器视觉判别牛肉新鲜度的多模型定量分析 被引量:2
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作者 陆钟超 邱月 +5 位作者 张安强 张建友 崔蓬勃 翔云 金霞 吕飞 《食品与发酵工业》 CAS CSCD 北大核心 2024年第8期262-270,277,共10页
色泽是判断生鲜牛肉新鲜度的重要指标之一。随着人工智能的发展,机器视觉为生鲜肉新鲜度判别提供了可量化的解决方案。该研究通过智能手机获取牛肉图像,利用灰度化、二值化、图像分割与提取,获取不同新鲜度牛肉图像在Red-Green-Blue(RGB... 色泽是判断生鲜牛肉新鲜度的重要指标之一。随着人工智能的发展,机器视觉为生鲜肉新鲜度判别提供了可量化的解决方案。该研究通过智能手机获取牛肉图像,利用灰度化、二值化、图像分割与提取,获取不同新鲜度牛肉图像在Red-Green-Blue(RGB)、L^(*)a^(*)b^(*)和Hue-Saturation-Intensity(HSI)颜色空间的颜色参数,并与常规牛肉新鲜度评价指标挥发性盐基氮(total volatile base nitrogen,TVB-N)、硫代巴比妥酸(thiobarbituric acid,TBA)、菌落总数(total viable count,TVC)和感官评分(sensory index,SI)相关联,建立多元线性回归(multiple linear regression,MLR)、反向传播神经网络(back propagation neural network,BPNN)和支持向量回归(support vector regression,SVR)牛肉新鲜度定量预测模型。结果表明,MLR模型对TVB-N、TBA、TVC和SI值的预测模型决定系数(R^(2))分别为0.9406、0.9316、0.9582和0.9548。BPNN模型R^(2)为0.9627、0.9641、0.9920和0.9864,SVR模型的R^(2)为0.9712、0.9679、0.9928和0.9883。3种模型中SVR模型新鲜度预测性能最优,且预测相对误差均在±10%之内。在此基础上,建立了基于颜色参数的SVR牛肉货架期预测模型(R^(2)=0.9648),该模型的预测值与真实货架期平均绝对误差<0.5 d,优于传统货架期模型,提供了一种无损、快速确定牛肉新鲜度和货架期的新方法。 展开更多
关键词 机器视觉 牛肉检测 新鲜度指标 颜色参数 支持向量回归 货架期
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