一种基于 ROEWA 算子改进的 CV 模型用于乳腺超 声图像分割
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国家自然科学基金项目(61472411);深圳市基础研究项目(JCYJ20160429174611494)

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Segmentation of Breast Ultrasound Image with an Improved CV Model Based on ROEWA Operator
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    摘要:

    基于区域的几何活动轮廓(Chan-Vese,CV)模型是乳腺超声图像中常用的一种分割算法。但传 统的 CV 模型不能满足乳腺超声图像分割精度高、速度快的要求。因此,文章提出了一种基于指数加权 平均比率(Ratio of Exponential Weighted Averages,ROEWA)算子改进的 CV 模型,用于乳腺超声图像中病 灶区域的分割。首先,计算乳腺超声图像的 ROEWA 算子。其次,基于图像的 ROEWA 算子构建边缘指 示函数,用于代替 CV 模型中的 Dirac 项。最后,去除平滑项,从而提高曲线演化的速度。实验结果表 明,文章提出的算法不仅能提高分割的精度,而且能显著提高分割的速度。

    Abstract:

    The Chan-Vese (CV) model has been widely investigated for breast ultrasound (BUS) image segmentation. However, the traditional CV model can not meet the requirement of high precision and speed for BUS segmentation. To address this issue, an improved CV model based on the ratio of exponentially weighted averages (ROEWA) operator was proposed in this paper. Firstly, the ROEWA of the BUS image was calculated. Then, a ROEWA-based edge indicator function was built to replace the Dirac term of traditional CV model. Finally, the smoothing term was removed to improve the speed of curve evolution. Experimental results show that the advantages of the proposed model in terms of computational efficiency and accuracy.

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引文格式
刘 磊,温铁祥,秦文健,等.一种基于 ROEWA 算子改进的 CV 模型用于乳腺超 声图像分割 [J].集成技术,2017,6(5):32-39

Citing format
LIU Lei, WEN Tiexiang, QIN Wenjian, et al. Segmentation of Breast Ultrasound Image with an Improved CV Model Based on ROEWA Operator[J]. Journal of Integration Technology,2017,6(5):32-39

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  • 收稿日期:2017-06-30
  • 最后修改日期:2017-08-24
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  • 在线发布日期: 2017-09-20
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