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An improved ultrasound image segmetation method based on level set

机译:基于级别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Segmetation在医学图像过程中起重要作用。本文讨论了交易级别集方法,提出了一种基于级别集的改进方法。结合均匀过滤和模糊增强,改进方法的最终结果可以更好地适合EGDE。此外,它可以应用于不同种类的超声图像。实验表明,如果超声图像的质量低,则该方法可以自动分割目标边缘。此外,它可以应用于不同种类的超声图像。

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