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活动围道
相关语句
  active contour
     Texture image segmentation based on Gabor wavelet using geodesic active contour model
     基于Gabor小波的几何活动围道纹理图像分割方法
短句来源
     Combined with the active contour image segmentation method, this model can be applied to texture segmentation.
     再利用基于活动围道的图像分割算法对该子图像进行分割,可以获得良好的纹理图像分割结果。
短句来源
     Nonparametric Methods for Image Segmentation Using Active Contour
     一种非参数估计的活动围道图像分割方法
短句来源
     This paper applies Parzen-window nonparametric estimation of active contour methods for image segmentation which can be performed without regarding image regions as any of typical probability distributions, so it expands the application range of the algorithm.
     该文采用Parzen窗非参数估计的活动围道方法进行图像分割,不必假定图像区域符合特定的概率分布,大大增加了该算法的应用范围。
短句来源
     So we apply active contour method for engineering applications which are based on level set numerical scheme ,and design a program with C.
     为适应这些要求,该文采用基于水平截集的活动围道图像分割方法,进行了面向工程化的算法实现和C应用程序设计。
短句来源
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  “活动围道”译为未确定词的双语例句
     With the help of the Minimum Description Length (MDL) principle, we regard these requirements as the corresponding description lengths.
     本文采用最小描述长度(MDL)准则,将这三方面的要求具体化为对应的描述长度,进而推导出活动围道的能量泛函。
短句来源
     An Image Segmentation Method and It's Achievement with Active Con tour Based on Level Set
     一种基于水平截集的活动围道图像分割方法及算法实现
短句来源
     An Active Contour-Based Unsupervised Texture Segmentation
     一种基于活动围道的纹理图像分割方法
短句来源
     For the image with random field feature, the description language is probability distribution model, and the description length equals the negative base-two logarithm of the probability of the image data;
     随机场图像的描述语言采用概率分布模型,描述长度是围道内外区域中图像数据概率的以2为底对数的负数; 活动围道区域一致性的描述语言为有符号的梯度图,描述长度是围道内区域有符号梯度的总和;
短句来源
     A new method for texture image segmentation was proposed,and it had two advantages compared to Geodesic models.
     用活动围道分割纹理图像时,纹理经常被分割为一个个独立的区域,影响了分割的质量。
短句来源
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  相似匹配句对
     Activities
     活动
短句来源
     The activity of the nerve fibers
     神经纤维的活动
短句来源
     An Active Contour-Based Unsupervised Texture Segmentation
     一种基于活动围道的纹理图像分割方法
短句来源
     Nonparametric Methods for Image Segmentation Using Active Contour
     一种非参数估计的活动围道图像分割方法
短句来源
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  active contour
Active contour model based on force field analysis
      
An active contour model based on force field analysis (FFA), namely, FFA snake model, is presented in this paper.
      
The segmentation consists of the main s teps of finding a region of interest containing the ONH, constraining the search space for final segmentation, and computing the fine segmentation by an active contour model.
      
Our experiments show that the proposed edge-combination approach can significantly improve the segmentation results of an active contour algorithm.
      
A two-level method for segmenting cytological images based on active contour model
      
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This paper proposes a hierarchical method of image segmentation with topological adaptability, called B spline active contour based on edge detector. Unlike traditional method of active contour, our method takes region homogenous property into account and designs a new external force regional force, which is very robust to noise contamination. Also, internal force is integrated into the B spline. Our method is composed of two steps. First step is a kind of low level image segmentation. In this step, a local...

This paper proposes a hierarchical method of image segmentation with topological adaptability, called B spline active contour based on edge detector. Unlike traditional method of active contour, our method takes region homogenous property into account and designs a new external force regional force, which is very robust to noise contamination. Also, internal force is integrated into the B spline. Our method is composed of two steps. First step is a kind of low level image segmentation. In this step, a local edge detector is used for detecting all edge points of the image. Second step is a kind of high level image segmentation. In this step, our B spline active contour based on the global image statistic is used for refining the region boundary. Also, we propose a new topology adaptability method, which is based on the change of region Euler number. Our method requires less interactive operation and is insensitive to initial condition. The experiments reported in the paper, performed on real images, confirm that the method can offer a good segmentation result and it has a very good topological adaptability.

为了准确提取出感兴趣区域的边界 ,研究出一种具有拓扑自适应性的图象两步分割方法 ,即基于棱边检测算子的 B样条活动围道分割方法 .该方法首先是进行图象的底层分割 ,即用基于图象局部特性 (像元邻域 )操作的棱边检测算子来检测图象的棱边点 ;然后进行图象的高层分割 ,即用基于图象全局统计特性的 B样条活动围道分割方法来求取对象的准确边界 ,另外 ,还提出了基于区域欧拉数的拓扑自适应处理方案 .该两步图象分割方法具有人为干预少、对初始条件不敏感 ,拓扑自适应性强等优点 .试验结果证明了该方法的有效性

Image segmentation is one of the basic technologies in remote sensing and medical image processing but it lacks current algorithm for engineering applications.In image segmentation for engineering applications,the requirements of efficiency,integrity,accuracy,stability must be satisfied.So we apply active contour method for engineering applications which are based on level set numerical scheme ,and design a program with C.The experiments performed on real images,confirm the adequacy and good performance...

Image segmentation is one of the basic technologies in remote sensing and medical image processing but it lacks current algorithm for engineering applications.In image segmentation for engineering applications,the requirements of efficiency,integrity,accuracy,stability must be satisfied.So we apply active contour method for engineering applications which are based on level set numerical scheme ,and design a program with C.The experiments performed on real images,confirm the adequacy and good performance of the approach,and prove that the technology which has good antinoise function can be used widely and practically in remote sensing and medical image processing.

图像分割是遥感和医学图像处理的基础技术之一,但是目前缺乏工程化通用算法。适合于工程应用的图像分割技术必须满足有效、整体、精确、稳定等一系列要求。为适应这些要求,该文采用基于水平截集的活动围道图像分割方法,进行了面向工程化的算法实现和C应用程序设计。试验表明,所发展的计算技术具有很好的通用性,分割过程快速,得到的边界准确,具有拓扑自适应性和良好的抗噪性,可以实际地用于分割大型遥感图像和医学图像。

This paper applies Parzen-window nonparametric estimation of active contour methods for image segmentation which can be performed without regarding image regions as any of typical probability distributions, so it expands the application range of the algorithm. In order to use the information of gray value congruence in a particular region, the Parzen-window parameter is alterable in estimating the densities. This will be more suit for practical image segmentation. Many examples of synthetical and real image...

This paper applies Parzen-window nonparametric estimation of active contour methods for image segmentation which can be performed without regarding image regions as any of typical probability distributions, so it expands the application range of the algorithm. In order to use the information of gray value congruence in a particular region, the Parzen-window parameter is alterable in estimating the densities. This will be more suit for practical image segmentation. Many examples of synthetical and real image segmentation prove that the method is rationality, better for curve evolution and has good accuracy and antinoise function.

该文采用Parzen窗非参数估计的活动围道方法进行图像分割,不必假定图像区域符合特定的概率分布,大大增加了该算法的应用范围。通过动态调整Parzen窗口参数,更好地利用了图像灰度区域一致的信息,使之更好地适应图像分割的任务。通过合成图像和真实图像的实验证明此方法具有很好的合理性,具有很好的分割精度和抗噪性能。

 
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