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1.
为了解决同一幅图像在不同显示器上得到不同的显示结果这一问题,需要对显示器进行颜色特性化。液晶显示器颜色特性化方法主要有查找表法、神经网络法和模型法。采用基于三次多项式的阶调曲线模型法来建立RGB颜色空间到CIEXYZ颜色空间的转换模型,进行单通道17组数据的采样,并采集了100组检验数据。用加权最小二乘法对模型进行求解,并对比不同权数对液晶显示器颜色特性化的影响。实验结果表明,该模型的平均色差为2.4742,最大色差为5.3927,满足液晶显示器颜色特性化中对精度的要求。  相似文献   

2.
颜色空间转换是色彩管理流程中的一个重要步骤,目前颜色空间转换算法有多种选择,多项式回归算法是常用的一种方法.为评价该算法的转换精度,本文基于印刷数据集展开对多项式回归算法的研究,以CIE推荐的17个颜色中心为数据集,分别利用4项多项式、6项多项式和8项多项式回归建模,实现了从设备相关颜色空间CMY到设备无关颜色空间CIELAB的转换;通过比较误差法和PF/3评价方法对多项式回归模型精度进行分析.实验结果表明,采用多项式回归算法进行颜色空间转换时,多项式的项数增加可以提高颜色空间转换的精度,但是过多的项数会引起振荡,从而导致整个颜色空间转换精度的下降.  相似文献   

3.
数码相机的颜色特征化研究   总被引:2,自引:0,他引:2  
为了研究数码相机的颜色特征化问题,用多项式回归方法对Sony DSC F717数码相机进行了特征化分析,采用一次拟合与两次拟合分别建立RGB到XYZ空间和RGB到L*a*b*空间的多项式模型.通过色差ΔE和拟合方差σ2的比较,分析了两种模型的差异以及rgb项和常数项对模型精度的影响,并与Profile Maker软件制作的特性文件精度作了对比.结果表明:取项数为11和20时RGB→L*a*b*模型能达到较为满意的结果,两次拟合比一次拟合效果好.  相似文献   

4.
显示器是用来传达颜色信息的重要设备,是计算机系统不可缺少的外部设备.同时图像信息在原稿、扫描仪、显示器、打印机等多媒体等色彩传感设备中传递时,要求同一副图像在不同的色彩再现设备中表现出相同的颜色效果,否则就可能传递出错误的颜色信息. 本文利用basICColor display色彩管理软件和Eye-One Pro分光光度仪对液晶显示器进行屏幕的校正和特性化,并对显示器特性文件的精度进行评价.  相似文献   

5.
液晶显示器颜色计算方法的探讨   总被引:2,自引:0,他引:2  
显示器颜色的准确性是保证印刷质量的重要因素。对显示器进行色彩管理的主要任务就是计算显示的颜色,即确定RGB颜色控制数值与显示颜色的CIE色度值之间的转换关系。本文对EIZO、苹果和普通液晶显示器的颜色进行了测量,分别用增益-偏置-伽玛(GOG)模型、双通道干扰(TPC)模型和分段分空间(PP)模型进行显示颜色的计算,检验各模型的计算精度。实验中将RGB数值均匀分割为9个区间,总共组成729个检验颜色,将计算颜色与颜色测量值进行比较,分析GOG模型、TPC模型和PP模型对三种显示器计算的CIELAB色差,对计算结果进行分析,从而寻找对显示器颜色模型的改进方法。  相似文献   

6.
洪亮 《印刷世界》2013,(1):16-19
目前,印前系统中都把显示器作为预打样的设备,依靠屏幕显示的色彩来调整图像色彩。因此,色彩管理技术的关键之一就是把显示器的显示效果与输出打样或印刷效果调整至相接近的程度。本文利用艺卓显示器自带的ColorNavigator色彩管理软件和Eye-OnePro分光光度仪对液晶显示器进行屏幕的校正和特性化,并对显示器特性文件的精度进行  相似文献   

7.
色彩失真现象普遍存在于图像在不同设备之间传输的过程中,为保证纺织文物图像跨设备的色彩真实再现,继而推进博物馆数字化发展,在乾隆色谱染色丝织物的基础上,分别对数码相机和显示屏进行色度特征化,并讨论了不同图像格式、不同训练数据集、多项式不同阶数对相机预测模型精度的影响,同时采用增益-偏置-伽马模型(GOG模型)对显示屏进行色度特征化,然后对乾隆色谱跨设备再现情况进行色差分析以确定最优特征化模型,最后采用中国丝绸博物馆馆藏纺织品文物对建立模型进行检验。结果表明:选择RAW格式图像和三阶多项式对相机进行色度特征化处理,并使用采集的纺织品颜色数据集训练模型,模型的精度可达到2.18(ΔE*ab)(CIEDE2000色差值);显示器特征化模型精度为0.58(ΔE*ab);乾隆色谱跨设备再现的色差均值为2.16(ΔE*ab),真实丝绸文物跨设备再现的色差值为2.38(ΔE*ab),表明该特征化模型具有优异的跨设备色彩再现效果。  相似文献   

8.
显示器颜色特性文件精度分析   总被引:5,自引:0,他引:5  
为了研究显示器的色彩管理问题,采用Monaco Optix 2.0、Monaco Profiler 4.7.2、Pulse ColorElite 1.0.2特性文件制作软件和X-Rite DTP94分光光度计对DELL(戴尔)等液晶显示器和SAMSUNG(三星)、MAG(美格)等CRT显示器进行颜色管理建立相应的ICC Profile颜色特性文件.通过分析特性文件的颜色转换精度,对特性文件制作软件的功能优劣以及设备所能达到的颜色控制程度进行定量分析.针对该实验选用的特性文件制作软件和不同显示器进行实验得出结论,优选的色彩管理软件应是Monaco Profiler 4.7.2;优选的显示器应是SUMSUNG或MAG的CRT显示器.  相似文献   

9.
在对显示器进行特性化之前我们需要做显示器的校准工作,校准能够调整设备的参数使其达到最佳的稳定状态,特征化的过程是用来确定校准后显示设备的色域,并建立RGB设备相关颜色空间与设备无关颜色空间的对应关系。特征化是实施色彩管理的基础,在显示器与显示器之间,或者显示器与打样机(印刷机)之间建立色彩管理之前,必须先获得源设备和目的设备的设备特性文件。  相似文献   

10.
显示器是通向数字色彩世界的窗口,显示器特性文件是否准确直接决定着色彩管理过程中预览的色彩的准确性。显示器作为色彩管理中最核心的部分,基于显示器的研究越来越任重而道远。近年来,随着液晶显示器LCD技术的不断发展,不论是在颜色的准确性和稳定性、色域空间的大小、显示均匀性方面,还是在观看角度方面都有了很大提高。目前,基于LCD的色彩传递设备体系能够更加准确的实现色彩的传递过程,基于ICC的色彩管理  相似文献   

11.
Variance components of the covariance function coefficients in a random regression test-day model were estimated by Legendre polynomials up to a fifth order for first-parity records of Dutch dairy cows using Gibbs sampling. Two Legendre polynomials of equal order were used to model the random part of the lactation curve, one for the genetic component and one for permanent environment. Test-day records from cows registered between 1990 to 1996 and collected by regular milk recording were available. For the data set, 23,700 complete lactations were selected from 475 herds sired by 262 sires. Because the application of a random regression model is limited by computing capacity, we investigated the minimum order needed to fit the variance structure in the data sufficiently. Predictions of genetic and permanent environmental variance structures were compared with bivariate estimates on 30-d intervals. A third-order or higher polynomial modeled the shape of variance curves over DIM with sufficient accuracy for the genetic and permanent environment part. Also, the genetic correlation structure was fitted with sufficient accuracy by a third-order polynomial, but, for the permanent environmental component, a fourth order was needed. Because equal orders are suggested in the literature, a fourth-order Legendre polynomial is recommended in this study. However, a rank of three for the genetic covariance matrix and of four for permanent environment allows a simpler covariance function with a reduced number of parameters based on the eigenvalues and eigenvectors.  相似文献   

12.
The issue of modeling bovine lameness was explored by testing the hypothesis that B-spline transformation of limb movement variables (LMV) employed in predictive models improved model accuracy. The objectives were to determine the effect of number of B-spline knots and the degree of the underlying polynomial approximation (degree of freedom) on model accuracy. Knot number used in B-spline transformation improved model accuracy by improving model specificity and to a lesser extent model sensitivity. Degree of polynomial approximation had no effect on model predictive accuracy from the data set of 261 cows. Model stability, defined as changes in predictive accuracy associated with the superimposition of perturbations (0.5 and 1.0%) in LMV on the measured data, was explored. Model specificity and to a lesser degree, sensitivity, increased with increased knot number across data set perturbations. Specificity and sensitivity increased by 43 and 11%, respectively, when knot number increased from 0 to 7 for a perturbation level of 0.5%. When the perturbation level was 1%, the corresponding increases in specificity and sensitivity were 32 and 4%, respectively. Nevertheless, different levels of LMV perturbation varied the optimal knot number associated with highest model accuracy. The optimal knot number for 0.5% perturbation was 8, whereas for 1% perturbation the optimal knot number was 7. The B-spline transformation improved specificity and sensitivity of predictive models for lameness, provided the appropriate number of knots was selected.  相似文献   

13.
为实现黄瓜贮藏过程中基于微生物内源荧光信息的微生物数量变化情况的快速实时监控,并为腐败预判提供依据,在不同贮藏时间对黄瓜表面进行三维荧光信息采集。运用多项式插值方法去除原始光谱中的瑞利散射,并进行Savitzky-Golay多项式平滑降噪处理。采用核心一致诊断(core consistency diagnostic,CORCONDIA)法对组件数进行估计,以避免黄瓜在贮藏过程中表面微生物自身的代谢作用对样本荧光信号的分析造成干扰。运用交替三线性分解(alternating trilinear decomposition,ATLD)算法,按该组件数对三维荧光矩阵进行分解,获得不同组件的相对激发强度光谱、相对发射强度光谱和相对浓度阵。解析结果表明:通过CORCONDIA法在函数值大于60%的前提下,确定组件数为4。以ATLD算法分解出的4 个组件中,组件1和组件3呈现特殊双峰结构,其特征激发-发射光谱与微生物主要内源荧光物质,即类色氨酸和类酪氨酸的荧光指纹图谱吻合,且组件1所代表的类色氨酸具有较高的荧光量子产率。运用荧光区域积分法对组件1的特征光谱中高激发类色氨酸和低激发类色氨酸区域的荧光总量进行定量分析,并用多元逐步回归方法构建了标准化区域积分值与微生物数量间的函数关系。回归分析结果显示,采用二元四次逐步回归方法构建的回归模型决定系数R2可达98.309 8%。采用1 个未参与模型建立的样本对预测模型进行检测,获得微生物数量的相对误差为1.037 1%。结论:在对黄瓜表面荧光光谱中微生物信息判别的基础上,可以实现黄瓜贮藏过程中基于微生物三维荧光信息的微生物数量变化监控模型的构建,为实时监控腐败进程提供依据。  相似文献   

14.
赵雪  靳欣迪  刘斌  赵旭博 《食品科学》2021,42(14):62-69
为掌握黄曲霉菌在辣椒粉基质中的生长及产黄曲霉毒素规律,检测温度为20、28、37、45 ℃,水分活度为0.85、0.90、0.93、0.97及pH值为4.5、5.0、5.5环境因子条件下菌株生长及毒素累积数据。采用Baranyi and Roberts模型估计速率菌落最大径向生长(μmax,mm/d),采用修正的二阶多项式模型、Arrhenius模型及三阶多项式模型描述环境对μmax的综合影响。同时构建环境、时间与黄曲霉毒素含量的二阶多项式模型。结果表明对黄曲霉生长,修正的二阶多项式模型拟合效果最优,决定系数(R2)>0.99,偏离因子(Bf)、精确因子(Af)分别为1.077 0和1.131 9。对黄曲霉毒素累积量也达到了较优预测,R2>0.97。研究结果可为辣椒粉的安全储藏及加工提供可借鉴的基础数据,并为延长辣椒粉货架期提供理论依据。  相似文献   

15.
A prediction method of total coliform bacteria based on image identification technology in foods was proposed. In order to get the close to real-time detection results, this method used the total count of bacteria and bacilli to predict the total coliform bacteria counts because coliforms are difficult to extract the feature parameters to be recognized and enumerated, while total count of bacteria and bacilli could be enumerated by using image identification technology. An optimal artificial neural network (ANN) model was presented for prediction of total coliform bacteria counts. Several configurations were evaluated while developing the optimal ANN model. The optimal ANN model consisted two hidden layers with five neurons in each hidden layer. Results showed that predicted total coliform bacteria counts were positively correlated to the experimental total coliform bacteria counts obtained by traditional multiple-tube fermentation technique (correlation coefficient, R2 = 0.9716), which predicted accuracy was much better than other predicted models (the correlation coefficient of linear regression model, second-order polynomial regression model and polynomial trend surface analysis was 39.81%, 67.17% and 78.85%, respectively).  相似文献   

16.
为选择最佳的烟叶化学组成与烟气成分的预测模型,运用不同的回归分析统计方法,对烟叶化学组成和烟气成分进行了回归分析。结果表明:全模型、双重筛选逐步回归以及仅含相关变量的逐步回归,方程均通过检验,但是不同方法得到的模型预测精度不同,且预测变量回归系数未全部通过检验;剔除不显著变量后,重新拟合回归预测模型,得到的焦油、烟气烟碱、烟气一氧化碳的回归模型,焦油回归方程为Y焦油=11.7+1.857X烟碱,烟气烟碱回归方程为Y烟气烟碱=0.679X烟碱,烟气一氧化碳回归模型为YCO=1.428 6X烟碱+0.121 7X还原糖+2.822 5X总氯+8.488 9,且回归方程检验均达到显著水平(P<0.01),方程回归系数均通过显著性检验(P<0.01)。这些结果为提高烟叶安全性和设计低焦油卷烟配方提供了科学依据。  相似文献   

17.
The detecting of foreign fiber may not be very effective, particularly around the detection zone where many types of foreign fibers may coexist. In order to eliminate the fibers more effectively, a model has been established to detect foreign fiber faults in yarn. Relevant data were collected through investigation of a number of standard samples, with the length and area of foreign fibers as the independent variables, and the number of defects as the dependent variable, which were combined using linear regression theory to establish a regression equation for different fiber defects. The equations to find the regression coefficients, which include the model fitting degree, the Durbin–Watson value, the standard error, and the Cook distance, were rigorously tested, and the regression equation was eventually compiled to produce the yarn faults model. When the fiber detection equipment recognizes fibers with a foreign profile, the calculated profile fiber size is used in a corresponding regression equation which obtains the defect points and compares them with each other, so that foreign fibers which are potentially more dangerous can be identified and preferentially eliminated. In order to verify the model, spinning experiments are performed. The actual defects from the experiment are compared with the predicted theoretical defects from the equation, and the prediction accuracy was found to reach more than 95%, showing that the foreign fiber yarn faults model, which lays a theoretical foundation for foreign fiber detection, is accurate and effective.  相似文献   

18.
The relationship between gas chromatographic profiles and sensory tests, which were carried out by an ordering method, was investigated by stepwise regression analysis. The, results indicated that sensory qualities were linearly related to gas chromatographic profiles. The multiple correlation coefficient (R) increased with the increase of step number, and exceeded 0·9 at step 10. R reached 0·968 at the last step number, 43. On the other hand, the standard error of estimate reached a minimum value at step 28 and then began to increase gradually. The most predictive regression model for sensory test panel acceptability was calculated for each step and the resulting calculated models were tested by substituting the gas chromatographic data. The results showed good accuracy for the estimation of sensory quality.  相似文献   

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