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An Improved Ultrasound Image Segmetation Method Based on Level Set

机译:一种基于水平集的改进的超声图像分割方法

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Image segmetation plays an important part in medical image process.In the paper, the tradional level set method is discussed, then an improved method based on level set is proposed.Combining homomorphic filtering and fuzzy enhancement,the final result from the improved method can fit the egde better.Besides,it can be applied in different kind of ultrasound images. Experiments show that this method can automatically segment the target edge if the quality of ultrasonic images is low.Besides, it can be applied to different kinds of ultrasonic images.
机译:图像分割在医学图像处理中起着重要的作用。本文讨论了传统的水平集方法,然后提出了一种基于水平集的改进方法。此外,它还可用于其他类型的超声图像中。实验表明,该方法在超声图像质量较差的情况下可以自动对目标边缘进行分割,并且可以应用于不同种类的超声图像中。

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