共查询到18条相似文献,搜索用时 109 毫秒
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Mach-Zehnder干涉仪适用于研究气体密度迅速变化的状态。由于气体折射率的变化与其密度的变化成正比,而折射率的变化将使通过气体的光线有不同的光程,因此可通过干涉臂变化对干涉条纹图像效果的影响得到气体密度。实测中,采用图像采集卡和CCD来接收Mach-Zehnder干涉仪产生的条纹图像,再通过计算机对条纹图像的条纹间距进行处理,从而得到气体密度的变化状态。从光干涉理论出发,对Mach-Zehnder干涉条纹图像特征进行了分析,建立了Mach-Zehnder干涉条纹的数学模型,并根据此模型设计了处理Mach-Zehnder干涉条纹图像的算法。算法包括图像的预处理(即图像的噪声提取)、图像的二值化及图像的细化。 相似文献
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Math-Zehnder干涉仪适用于研究气体密度迅速变化的状态。由于气体折射率的变化与其密度的变化成正比,而折射率的变化将使通过气体的光线有不同的光程,因此可通过干涉臂变化对干涉条纹图像效果的影响得到气体密度。实测中,采用图像采集卡和CCD来接收Math-Zehnder干涉仪产生的条纹图像,再通过计算机对条纹图像的条纹间距进行处理,从而得到气体密度的变化状态。从光干涉理论出发,对Math-Zehnder干涉条纹图像特征进行了分析,建立了Math-Zehnder干涉条纹的数学模型,并根据此模型设计了处理Math-Zehnder干涉条纹图像的算法。算法包括图像的预处理(即图像的噪声提取)、图像的二值化及图像的细化。 相似文献
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本文介绍了一种简单有效的处理有限条纹全息干涉图的方法.这种方法不用对干涉图进行二值化处理,而在干涉图预处理的基础上直接用Hildtch或Pavlids细化算法对干涉图直接细化.预处理过程中,考虑到条纹边缘近似的屋顶状特性,采用一特殊的二次微分算子对干涉图进行卷积运算.这种方法由于避免了二值化处理的过程,它对于处理由于光源不均匀或吸收散射等原因引起的象面照度不均匀和条纹对比度变化较大的干涉图具有现实意义. 相似文献
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提出了一种新的应用希尔伯特变换解调干涉条纹相位的算法,可以从单幅干涉条纹图中解调出全场相位分布.在实际应用中,常借助傅里叶变换实现希尔伯特变换算法,但是会忽略负频率成分,造成相位信息的丢失.对于相位分布非单调变化的干涉条纹,提出了一种判断函数,用来计算相位信息零频率点的分布.利用相位的零频率点分布构造了一个二元模板,使用该模板对本文提出的两次希尔伯特变换法产生的包裹相位图进行修正.对修正后的包裹相位图进行解包裹处理,可以得到连续的全场相位分布.对该方法用计算机模拟进行了验证. 相似文献
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We propose cube thinning, a novel method for compressing the output of an MCMC (Markov chain Monte Carlo) algorithm when control variates are available. It allows resampling of the initial MCMC sample (according to weights derived from control variates), while imposing equality constraints on the averages of these control variates, using the cube method (an approach that originates from survey sampling). The main advantage of cube thinning is that its complexity does not depend on the size of the compressed sample. This compares favourably to previous methods, such as Stein thinning, the complexity of which is quadratic in that quantity. 相似文献
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图像边缘检测的关键是尽可能多的检测到边缘并且抑制噪声的同时,尽可能的满足单线的边缘定位精度;为此选取了一种融合小波模极大值和数学形态学的边缘检测方法来获取图像边缘;首先在对图像进行小波分解,分别利用模极大值法和多尺度多结构数学形态学方法来处理小波分解的高频分量和低频分量,利用差影法对二者的结果进行融合;然后利用大律法得到二值化图像,并用形态学边缘细化算法细化图像边缘得到最后结果;实验结果显示,融合的方法可以得到比较完善的边缘,经过二值化和边缘细化后,获得的单线宽边缘更加清晰,定位精度更高。 相似文献
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The thinning operators play an important role in the analysis of integer-valued autoregressive models, and the most widely used is the binomial thinning. Inspired by the theory about extended Pascal triangles, a new thinning operator named extended binomial is introduced, which is a general case of the binomial thinning. Compared to the binomial thinning operator, the extended binomial thinning operator has two parameters and is more flexible in modeling. Based on the proposed operator, a new integer-valued autoregressive model is introduced, which can accurately and flexibly capture the dispersed features of counting time series. Two-step conditional least squares (CLS) estimation is investigated for the innovation-free case and the conditional maximum likelihood estimation is also discussed. We have also obtained the asymptotic property of the two-step CLS estimator. Finally, three overdispersed or underdispersed real data sets are considered to illustrate a superior performance of the proposed model. 相似文献
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一种改进的Sobel图像边缘检测算法 总被引:12,自引:0,他引:12
边缘检测在数字图像处理和计算机视觉中有着重要的应用。对数字图像处理中具有代表性的Sobel边缘检测算法进行了分析。针对该算法存在检测出的边缘粗且对噪声极其敏感的缺点,提出了一种改进算法。该算法对实际图像中出现的边缘类型进行了数学模型描述,然后把连续型的边缘模型作为研究对象,重新构造了对图像边缘方向进行检测的模板。针对Sobel边缘检测基于一阶导数极大值或二阶导数零交叉而带来的边缘定位准确度不高的缺点,对图像梯度图进行了细化处理。仿真结果表明:该算法对图像噪声干扰有较强的抑制能力,提取的边缘定位准确、结构细腻。 相似文献
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一种快速的图像边缘精确提取算法 总被引:6,自引:0,他引:6
图像边缘检测是图像处理与分析中最基础的内容之一。现有的边缘检测算法存在检测精度低、抗噪性能差、处理速度慢等缺点。针对这些问题,提出了一种快速图像边缘检测算法。通过基于图像边缘信息的阈值分割,能快速地提取出图像的边缘轮廓,通过对其进行中心细化,可达到对物体边缘精确定位的目的。仿真实验证明,该算法在滤除图像噪声、保留细节边缘、细化边缘宽度和保持边缘连通性方面都获得了不错的效果,并且运算量小,既适用于对视频图像的实时处理,也适用于对图像中的隐蔽目标特征的提取和分析。 相似文献
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A robust method for high‐precision quantification of the complex three‐dimensional vasculatures acquired by X‐ray microtomography
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Hai Tan Dadong Wang Rongxin Li Changming Sun Ryan Lagerstrom You He Yanling Xue Tiqiao Xiao 《Journal of synchrotron radiation》2016,23(5):1216-1226
The quantification of micro‐vasculatures is important for the analysis of angiogenesis on which the detection of tumor growth or hepatic fibrosis depends. Synchrotron‐based X‐ray computed micro‐tomography (SR‐µCT) allows rapid acquisition of micro‐vasculature images at micrometer‐scale spatial resolution. Through skeletonization, the statistical features of the micro‐vasculature can be extracted from the skeleton of the micro‐vasculatures. Thinning is a widely used algorithm to produce the vascular skeleton in medical research. Existing three‐dimensional thinning methods normally emphasize the preservation of topological structure rather than geometrical features in generating the skeleton of a volumetric object. This results in three problems and limits the accuracy of the quantitative results related to the geometrical structure of the vasculature. The problems include the excessively shortened length of elongated objects, eliminated branches of blood vessel tree structure, and numerous noisy spurious branches. The inaccuracy of the skeleton directly introduces errors in the quantitative analysis, especially on the parameters concerning the vascular length and the counts of vessel segments and branching points. In this paper, a robust method using a consolidated end‐point constraint for thinning, which generates geometry‐preserving skeletons in addition to maintaining the topology of the vasculature, is presented. The improved skeleton can be used to produce more accurate quantitative results. Experimental results from high‐resolution SR‐µCT images show that the end‐point constraint produced by the proposed method can significantly improve the accuracy of the skeleton obtained using the existing ITK three‐dimensional thinning filter. The produced skeleton has laid the groundwork for accurate quantification of the angiogenesis. This is critical for the early detection of tumors and assessing anti‐angiogenesis treatments. 相似文献