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A phase-based active contour model for segmentation of breast ultrasound images

机译:基于阶段的主动轮廓模型,用于分割乳房超声图像

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Due to the speckle noises, low contrast and blurry boundaries in breast ultrasound (BUS) images, extraction of the boundaries in BUS images is always a challenging task. To solve this problem, a novel phase-based active contour (PBAC) model is proposed. First, we utilize the local phase information and apply the phase asymmetry approach to form a new edge indicator, which dramatically increases the robustness to intensity inhomogeneous. Then, a novel phase-based edge indicator is incorporated into a various level set formulation with the local region-based segmentation energy. Experiments are performed on both synthetic and real BUS images. The results show that the proposed PBAC model outperforms the state-of-art methods both qualitatively and quantitatively.
机译:由于乳房超声(BUS)图像中的斑点噪声,低对比度和模糊边界,提取BUS图像中的边界始终是一项艰巨的任务。为了解决这个问题,提出了一种新型的基于相位的主动轮廓(PBAC)模型。首先,我们利用局部相位信息并应用相位不对称方法来形成新的边缘指示器,从而显着提高了强度非均匀性的鲁棒性。然后,将新型的基于相位的边缘指示器与基于局部区域的分割能量合并到各种级别的设置中。在合成和真实BUS图像上均进行了实验。结果表明,所提出的PBAC模型在质量和数量上均优于最新方法。

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