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Active contour model with gradient directional information:directional snake

机译:具有梯度方向信息的主动轮廓模型:方向蛇

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Active contours or snakes are an effective edge-based method in segmenting an object of interest. However, the segmented boundary of a moving object in one video frame may lie far from the same moving object in the next frame due to its rapid motion, causing the snake to converge on the wrong edges. To guide the snake toward the appropriate edges, we have added gradient directional information to the external image force to create a “directional snake.” Thus, in minimizing the snake energy, the new method considers both the gradient strength and gradient direction of the image. Experimental results demonstrate that the directional snake can provide a better segmentation than the conventional method in certain situations, e.g., when there are multiple edge candidates in the neighborhood with different directions. The directional snake is significant because it provides a framework to incorporate directional information in digital video segmentation
机译:活动轮廓或蛇形图是分割感兴趣对象的有效基于边缘的方法。但是,一个运动帧中的运动对象的分割边界由于其快速运动而可能与下一帧中的同一运动对象相距甚远,从而导致蛇会聚在错误的边缘上。为了将蛇引导到适当的边缘,我们在外部图像力上添加了梯度方向信息,以创建“方向蛇”。因此,在最小化蛇能量时,新方法同时考虑了图像的梯度强度和梯度方向。实验结果表明,在某些情况下,例如,在具有不同方向的邻域中有多个候选边缘时,定向蛇可以提供比常规方法更好的分割效果。定向蛇很重要,因为它提供了将定向信息合并到数字视频分段中的框架

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