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初始轮廓线    
相关语句
  initial contour
    When the classical parametric active contour model(Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    The proposed model has no special requirement to the location and shape of the initial contour.
    模型对初始轮廓线的位置和形状没有特别的要求。
短句来源
    When the traditional parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的Snake模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    When parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model is difficult to segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,且曲线在变形过程中难以分割深度凹陷区域。
短句来源
    Because of the relatively distinct contrast of gray level between unhealthy tissues and neighboring ones in data, an improved method is used to track the object contour firstly, then the contour is sampled to get the discrete controlling points of it and input them into the Snake contour tracking algorithm subroutine, thus avoiding the limitation of the initial contour controlling points of the Snake method and increasing the speed and accuracy of the segmentation for the unhealthy tissues. The proposed method is significant for practical application.
    由于数据中病变组织与其邻近组织像素灰度差别相对明显 ,首先通过采用一种改进的轮廓自动跟踪方法对目标轮廓进行跟踪 ,将得到的轮廓线经采样得到其离散控制点作为Snake轮廓搜索和跟踪算法的输入 ,既克服了Snake方法对初始轮廓线控制点分布的局限性 ,又避免了采用单一轮廓跟踪方法跟踪目标轮廓线的不确定性 ,提高了分割病变组织的速度和准确性 ,此方法具有较高实用意义
短句来源
更多       
  initial contour
    When the classical parametric active contour model(Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    The proposed model has no special requirement to the location and shape of the initial contour.
    模型对初始轮廓线的位置和形状没有特别的要求。
短句来源
    When the traditional parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的Snake模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    When parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model is difficult to segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,且曲线在变形过程中难以分割深度凹陷区域。
短句来源
    Because of the relatively distinct contrast of gray level between unhealthy tissues and neighboring ones in data, an improved method is used to track the object contour firstly, then the contour is sampled to get the discrete controlling points of it and input them into the Snake contour tracking algorithm subroutine, thus avoiding the limitation of the initial contour controlling points of the Snake method and increasing the speed and accuracy of the segmentation for the unhealthy tissues. The proposed method is significant for practical application.
    由于数据中病变组织与其邻近组织像素灰度差别相对明显 ,首先通过采用一种改进的轮廓自动跟踪方法对目标轮廓进行跟踪 ,将得到的轮廓线经采样得到其离散控制点作为Snake轮廓搜索和跟踪算法的输入 ,既克服了Snake方法对初始轮廓线控制点分布的局限性 ,又避免了采用单一轮廓跟踪方法跟踪目标轮廓线的不确定性 ,提高了分割病变组织的速度和准确性 ,此方法具有较高实用意义
短句来源
更多       
  initial contour
    When the classical parametric active contour model(Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    The proposed model has no special requirement to the location and shape of the initial contour.
    模型对初始轮廓线的位置和形状没有特别的要求。
短句来源
    When the traditional parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的Snake模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    When parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model is difficult to segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,且曲线在变形过程中难以分割深度凹陷区域。
短句来源
    Because of the relatively distinct contrast of gray level between unhealthy tissues and neighboring ones in data, an improved method is used to track the object contour firstly, then the contour is sampled to get the discrete controlling points of it and input them into the Snake contour tracking algorithm subroutine, thus avoiding the limitation of the initial contour controlling points of the Snake method and increasing the speed and accuracy of the segmentation for the unhealthy tissues. The proposed method is significant for practical application.
    由于数据中病变组织与其邻近组织像素灰度差别相对明显 ,首先通过采用一种改进的轮廓自动跟踪方法对目标轮廓进行跟踪 ,将得到的轮廓线经采样得到其离散控制点作为Snake轮廓搜索和跟踪算法的输入 ,既克服了Snake方法对初始轮廓线控制点分布的局限性 ,又避免了采用单一轮廓跟踪方法跟踪目标轮廓线的不确定性 ,提高了分割病变组织的速度和准确性 ,此方法具有较高实用意义
短句来源
更多       
  initial contour
    When the classical parametric active contour model(Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    The proposed model has no special requirement to the location and shape of the initial contour.
    模型对初始轮廓线的位置和形状没有特别的要求。
短句来源
    When the traditional parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model cannot segment deeply concave regions accurately.
    传统的Snake模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,曲线在变形过程中难以分割深度凹陷区域。
短句来源
    When parametric active contour model (Snake) is applied to segment the image, an initial contour must be set near the boundary of ROI and the model is difficult to segment deeply concave regions accurately.
    传统的参数活动轮廓模型分割图像时,要求初始轮廓线设置在感兴趣区域的边界附近,且曲线在变形过程中难以分割深度凹陷区域。
短句来源
    Because of the relatively distinct contrast of gray level between unhealthy tissues and neighboring ones in data, an improved method is used to track the object contour firstly, then the contour is sampled to get the discrete controlling points of it and input them into the Snake contour tracking algorithm subroutine, thus avoiding the limitation of the initial contour controlling points of the Snake method and increasing the speed and accuracy of the segmentation for the unhealthy tissues. The proposed method is significant for practical application.
    由于数据中病变组织与其邻近组织像素灰度差别相对明显 ,首先通过采用一种改进的轮廓自动跟踪方法对目标轮廓进行跟踪 ,将得到的轮廓线经采样得到其离散控制点作为Snake轮廓搜索和跟踪算法的输入 ,既克服了Snake方法对初始轮廓线控制点分布的局限性 ,又避免了采用单一轮廓跟踪方法跟踪目标轮廓线的不确定性 ,提高了分割病变组织的速度和准确性 ,此方法具有较高实用意义
短句来源
更多       
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  initial contour
The traditional snake initial contour should be close to the true boundary of an object of interest in an image; otherwise, an incorrect result will be obtained.
      
When the initial contour is applied to an image data, it is attracted near the dominant image features, but tries to keep its home shape and simultaneously make the deformation smooth if a deformation is more natural for force equilibrium.
      
However, to use the conventional active contour method, the initial contour needs to be provided manually.
      
In order to facilitate the use of contour matching, a new approach that combines the adaptive background subtraction method with the border tracing technique was developed and is used to automatically generate the initial contour.
      
Hence, several objects can be retrieved from one single initial contour.
      
更多          


Active contour models, introduced by Kass M et al in 1987, have been used more and more widely in applications of image analysis and computer vision.However, active contour models based on monoresolution have a common weak-ness, i. e., they require that the initial contour is very close to the true contour of the target, such tracking algorithms can only track targets in slow speed which lim-its the application area of these tracking algorithms. In this paper, a new tracking algorithm for active contours based...

Active contour models, introduced by Kass M et al in 1987, have been used more and more widely in applications of image analysis and computer vision.However, active contour models based on monoresolution have a common weak-ness, i. e., they require that the initial contour is very close to the true contour of the target, such tracking algorithms can only track targets in slow speed which lim-its the application area of these tracking algorithms. In this paper, a new tracking algorithm for active contours based on multiresolution is presented, which not only retains the advantages of the existing algorithms based on monoresolution, but also cuts down the strict requirement to initial contours. Moreover, the formulas of re-lations between the tracking algorithms and the velocity of the target allowed by the algorithms in different resolution are derived. According to these formulas, the maximum allowed velocity of the target may be estimated under both monoresolu-tion and multiresolution cases. The analyzed result proves that the proposed method can track the target in faster speed.

由Kass等于1987年首次提出的主动轮廓线模型,在数字图像分析和计算机视觉领域得到了越来越广泛的应用.基于单分辨率的主动轮廓线跟踪算法存在一个共同的缺点.即:要求初始轮廓线离目标的真实轮廓线很近,这样的算法用于跟踪将只能跟踪缓慢运动的目标,从而限制了主动轮廓线跟踪算法的应用范围.本文提出了一种基于多分辨率的主动轮廓线跟踪算法,它不但继承了基于单分辨率的主动轮廓线算法的优点,而且降低了对初始轮廓线的要求.此外,本文推导出不同分辨率情况下主动轮廓线算法与其允许的目标运动速度的关系公式,并用这些公式定量地计算出单分辨率和多分辨率情况下算法允许目标运动的最大速度,证明本文方法可以跟踪运动较快的目标.

Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour. Because of the relatively distinct contrast of gray level between unhealthy tissues and neighboring ones in data, an improved method is used to track the object contour firstly, then the contour is sampled to get the discrete controlling points of it and input them into the Snake contour tracking algorithm subroutine, thus avoiding the...

Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour. Because of the relatively distinct contrast of gray level between unhealthy tissues and neighboring ones in data, an improved method is used to track the object contour firstly, then the contour is sampled to get the discrete controlling points of it and input them into the Snake contour tracking algorithm subroutine, thus avoiding the limitation of the initial contour controlling points of the Snake method and increasing the speed and accuracy of the segmentation for the unhealthy tissues. The proposed method is significant for practical application.

针对实验数据像素灰度的分布特点 ,提出了一种对目标轮廓线进行有效和可靠的搜索和跟踪策略 .由于数据中病变组织与其邻近组织像素灰度差别相对明显 ,首先通过采用一种改进的轮廓自动跟踪方法对目标轮廓进行跟踪 ,将得到的轮廓线经采样得到其离散控制点作为Snake轮廓搜索和跟踪算法的输入 ,既克服了Snake方法对初始轮廓线控制点分布的局限性 ,又避免了采用单一轮廓跟踪方法跟踪目标轮廓线的不确定性 ,提高了分割病变组织的速度和准确性 ,此方法具有较高实用意义

An initial contour must be set near the feature of the image when using the parametric active contour model(Snake)to segment images.Moreover,the model can not deal with the concave regions in the image properly.A local area energy term is thus added to the target function for capturing the image feature in a wider region.On the basis of edge enhancement algorithm,a block pixel variation(BPV)image is achieved for calculating gradient vector flow(GVF).By replacing the gradient field with GVF,the model can...

An initial contour must be set near the feature of the image when using the parametric active contour model(Snake)to segment images.Moreover,the model can not deal with the concave regions in the image properly.A local area energy term is thus added to the target function for capturing the image feature in a wider region.On the basis of edge enhancement algorithm,a block pixel variation(BPV)image is achieved for calculating gradient vector flow(GVF).By replacing the gradient field with GVF,the model can segment the weak edges and concave regions effectively.The complexity of the optimization model is still O(nm).The experiment results demonstrate that this algorithm can segment left ventricle MRI images effectively.

Snake模型分割图像时要求初始轮廓线位于图像特征附近,且难以处理深度凹陷区域。该文在快速Snake模型的目标函数中增加局部面积能量项,扩大了算法捕获图像特征的范围;以边缘增强后的BPV图像的梯度为参数,计算梯度向量流场以代替MRI图像的梯度,提高了算法处理弱边界和凹陷区域边界的能力,优化算法的时间复杂度仍然为O(nm)。实验结果表明,该算法能够有效地分割左心室MRI图像。

 
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