2) gradient vector flow (GVF)
梯度矢量流
1.
A novel scheme for the contour detection is proposed based on gradient vector flow (GVF) snakes and multiscale analysis.
本文提出了一种基于梯度矢量流(GVF)snake与多尺度分析的轮廓提取新方法。
2.
Combining Gradient Vector Flow (GVF) Snake model with graph cuts theory, a fast concave object extraction algorithm was proposed.
首先用图割算法对初始轮廓线迭代变形,使其在快速提取非凹型段目标边界的同时将轮廓线有效地置于梯度矢量流力场的"有效逼近域"内,然后用GVF Snake算法继续对轮廓线迭代变形,提取凹型段目标边界。
3) GVF
梯度矢量流
1.
Methods Traditional gradient force, gradient plus pressure force and gradient vector flow (GVF) force were used in active contour models to segment malleus, incus, eardrum and some shared surface images.
方法将传统的梯度外力、梯度加压力及梯度矢量流外力应用于主动轮廓模型,分别对砧骨、锤骨、砧骨和锤骨间的共享狭窄面及鼓膜等图像进行图像分割,比较图像分割的结果,选择收敛速度快、分割结果准确的方法。
2.
We presented a novel and fast convergent skeleton snake model based on gradient vector flow(GVF).
提出了一种基于梯度矢量流 (GVF)的快速收敛骨架snake算法。
3.
Objective: To investigate the potential of gradient vector flow(GVF) Snake model as a method of image segment in radiographic absorptiometry method(RA) which is used to qualify bone mineral density.
结果:实验表明梯度矢量流模型有较好的鲁棒性和实用性,分割结果与实际边界非常吻合。
4) gradient vector flow
梯度矢量流
1.
Objective To put forward an improved gradient vector flow (GVF) snake model based on the edge flow for segmentation of medical ultrasonic images of the lymph node.
目的提出一种基于边缘流的梯度矢量流(gradientvectorflow,GVF)形变模型的图像分割方法,并用于淋巴结超声图像的分割。
2.
A brain segmentation algorithm for human head Magnetic Resonance Images(MRI)was proposed,which was based on gradient vector flow(GVF)deformable models and effectively dressed the problem of weak convergence at abrupt corners in GVF method.
本文给出了一种人头部核磁共振MRI图像的脑区域分割算法,该算法基于梯度矢量流GVF的可变形模型方法,且有效地解决了该方法在轮廓的突变处存在的弱收敛问题。
3.
The geodesic active contour aided with CV-GVF method is therefore proposed by way of combining the geodesic active contour with the coupling force field composed of gradient vector flow and CV method.
针对经典的测地线活动轮廓对初始位置和噪声比较敏感,在有噪声干扰或初始位置距目标边缘较远时,其往往无法准确收敛到目标边缘的问题,通过将由梯度矢量流和CV方法构成的耦合力场与测地线活动轮廓相结合,提出了辅以CV-GVF方法的测地线活动轮廓模型。
5) gradient vector flow(GVF)
梯度矢量流
1.
A new method of contour initializaiton was proposed by analyzing the shortcomings of the huge waste of time and the failure of extracting some true contours in Gradient Vector Flow(GVF) Snake model.
通过对梯度矢量流(GVF)力场迭代和轮廓收敛过程中时间开销大、不能逼近较复杂轮廓等不足之处的分析,提出了一种新的初始轮廓线的设置方法。
补充资料：流度
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性质：见粘度的倒数。
分子量：
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性质：见粘度的倒数。
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