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An improved active contour model algorithm based on region

机译:一种改进的基于区域的主动轮廓模型算法

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Image segmentation is a very important step in image processing. The active contour model is a commonly used image segmentation algorithm. In image segmentation based on active contours, there are phenomena that deep and weak boundaries cannot be divided. Therefore, this paper proposed an algorithm based on the machine solve the problem that the image edge segmentation is not clear. It can be seen from the results that the improved algorithm can not only accurately identify the object, but also the number of iterations is less than the original algorithm, then we can get the better result.
机译:图像分割是图像处理中非常重要的一步。活动轮廓模型是常用的图像分割算法。在基于活动轮廓的图像分割中,存在无法划分深边界和弱边界的现象。因此,本文提出了一种基于机器的算法,解决了图像边缘分割不清晰的问题。从结果可以看出,改进的算法不仅可以准确地识别出目标,而且迭代次数比原始算法少,可以得到更好的结果。

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