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首页> 外文期刊>Journal of Imaging Science and Technology >Applying Color Doppler Image based Virtual Surgery in Placenta Previa Cesarean Section
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Applying Color Doppler Image based Virtual Surgery in Placenta Previa Cesarean Section

机译：基于彩色多普勒图像在Pluenta Privia Cesarean部分应用基于彩色多普勒图像的虚拟手术

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摘要

Objective: To study the application of image processing technology in cesarean section of placenta previa, thereby reducing the occurrence of high-risk pregnancy. Methods: First, the method of gray image enhancement is analyzed. This method enhances the gray difference between the target and the background, highlights useful information, summarizes the source and type of noise, and proposes common filtering and noise reduction methods to suppress the noise. For edge detection, pixel-level edge detection operators and sub-pixel-level edge detection operators are summarized. The Canny edge detection operator and the Gaussian fitting sub-pixel edge detection operator are introduced in detail, and innovative improvements are carried out for resolving the deficiencies of the algorithm. Results: The improved adaptive iterative segmentation thresholding method results in a threshold of T = 98 and 11 iterations. The image segmentation quality of the improved Otsu method has been greatly enhanced. After the second segmentation, the improved Otsu method finds the optimal threshold T = 76. Conclusion: Color Doppler ultrasound image processing technology has excellent application in placenta previa cesarean section. (C) 2020 Society for Imaging Science and Technology.
机译：目的：探讨胎盘剖面剖宫产剖面图像处理技术的应用，从而减少高风险妊娠的发生。方法：首先，分析了灰色图像增强方法。该方法增强了目标和背景之间的灰色差异，突出显示有用信息，总结了噪声的源和类型，并提出了抑制噪声的公共滤波和降噪方法。对于边缘检测，总结了像素级边缘检测操作员和子像素级边缘检测操作员。详细介绍了罐头边缘检测操作员和高斯拟合子像素边缘检测操作员，并进行创新的改进，用于解决算法的缺陷。结果：改进的自适应迭代分割阈值方法导致T = 98和11次迭代的阈值。改进的OTSU方法的图像分割质量得到了大大提高。在第二分割之后，改进的OTSU方法发现最佳阈值T = 76.结论：彩色多普勒超声图像处理技术在胎盘PREVIA剖宫产中具有很好的应用。 （c）2020年影像科技协会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2020年第4期|040410.1-040410.10|共10页
  • 作者

    Zhang Guanghui; Feng Xiaoyan;

  • 作者单位

    Zhengzhou Univ Ind Technol Med Coll Zhengzhou 451100 Peoples R China;

    Xinzheng Publ Peoples Hosp Dept Obstet & Gynecol Zhengzhou 451100 Peoples R China;

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