partial segmentation
英 [ˈpɑːʃl ˌseɡmenˈteɪʃn]
美 [ˈpɑːrʃl ˌseɡmenˈteɪʃn]
局部（不全）卵裂
双语例句
- This paper presents a Chinese part of speech tagging system, which is inputted with segmentation fields with ambiguities and is integrated with finite state automaton used in partial syntactic analysis to exclude ambiguities of segmentation and part of speech tagging.
将带有歧义的切分字段作为词性标注系统的输入，并在词性标注系统中引入了有限状态自动机进行部分句法分析以排除切分和标注歧义，实现了一个结合部分句法分析的汉语词性标注系统。 - It moderately adjusts the optimized threshold in global statistics by means of partial spatial threshold, so its segmentation threshold is dynamic.
它利用局部空间阈值适度调整全局统计最优阈值，因而其分割阈值是动态的。 - Nowadays, the PDE ( partial differential equation) has been widely applied in the optical image processing field, such as image segmentation, image smoothing, edge detection and so on.
偏微分方程（PartialDifferentialEquation，PDE）是一种数学处理方法，最初应用于光学图像领域，在图像分割、图像平滑、边缘检测等图像处理领域得到了广泛的应用。 - Partial differential equation ( PDE) is an important mathematics analysis tool, which has been widely used in image processing techniques, such as image segmentation, filtering and so on.
偏微分方程（PDE）是一类重要的数学分析工具，已经被广泛应用于图像处理技术，如图像的滤波、分割等。 - Using the religious and effective partial differential method as the mathematics tool, all of the math modeling, numerical schemes and application on nonlinear diffusion denoising, mean curvature motion, image segmentation, image inpainting and image zooming were researched in this paper.
以理论严谨、实用有效的偏微分方程方法作为数学工具，针对非线性扩散滤波、平均曲率运动水平集方法、图像分割、图像修复和图像放大的数学建模、数值应用实现技术等内容展开深入研究。 - This paper is based on variational method and partial differential equations. We focus on some common problems in image processing, such as denoising, segmentation, deblurring and image enhancement.
本文的研究基于几何变分理论和偏微分方程理论，主要讨论了图像处理中的几个常见问题，如图像去噪，图像分割，图像去模糊，图像增强等。 - The C-V geometric active contour model is based on the theory of partial differential equations. The segmentation result which is globally optimal, continuous edge can be gained by using C-V model, and C-V model which has strongly noise immunity is the effective image segmentation method currently.
而C-V几何主动轮廓模型是基于偏微分方程的图像分割模型，该模型分割图像可以得到全局最优的、连续边缘的分割结果，具有较强的抗噪性，是目前比较有效的图像分割方法。 - The accuracy of image segmentation affects the effectiveness of the following task, so it is very important.C-V model which based on the theory of partial differential equations is a novel and effective method in image segmentation.
分割的准确性直接影响下一步工作的有效性，因而具有重要的意义。新近发展起来的C-V模型是一种基于偏微分方程理论的图像分割模型。 - Through the experiment, this method to uneven distribution of intensity of illumination, the image of the whole partial dark image segmentation with good results.
通过实验得出，这种方法对照度分布不均匀，图像整体偏暗的情况的分割有很好的效果。 - Image segmentation plays an important role in pattern recognition and computer vision, where partial differential equation based algorithms for image segmentation has been wildly studied in recent years.
图像分割在模式识别和计算机视觉中起着越来越重要的作用，其中基于偏微分方程的分割方法以其独特的优势获得了广泛关注。 - The basic idea is to deform a curve, surface or image under a partial differential equation ( PDE) with initial and boundary conditions, and obtain the desired segmentation results as the solution of the equation.
其基本思想是：曲线、曲面或图像在偏微分方程（带初始条件和边界条件）控制下进行演化，偏微分方程的数值解就是我们希望的分割结果。