| 曲波变换在超声波成像图像分割中的应用 |
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| 引用本文： | 邵佳园,胡灵娟,孙游雪.曲波变换在超声波成像图像分割中的应用[J].中州煤炭,2018,0(4):146-149. |
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| 作者姓名： | 邵佳园 胡灵娟 孙游雪 |
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| 作者单位： | （长江大学 地球物理与石油资源学院，湖北 武汉 430100） |
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| 摘 要： | 超声波成像测井由于不受泥浆导电性的影响，可对油基泥浆井的裂缝进行较准确评价，具有电成像测井不可替代的特点。针对油基泥浆下裂缝识别问题，选用具有各向异性的曲波变换对超声波成像进行了图像分割。此方法对于图像的边缘更为敏感，可以提取图像边缘信息，对图像分割有一定的作用。
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| 关 键 词： | 曲波变换 超声波成像 图像分割 |
Application of Curvelet image segmentation in Ultrasonic imaging logging |
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| Shao Jiayuan,Hu Lingjuan,Sun Youxue. Application of Curvelet image segmentation in Ultrasonic imaging logging[J].Zhongzhou Coal,2018,0(4):146-149. |
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| Authors: | Shao Jiayuan Hu Lingjuan Sun Youxue |
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| Affiliation: | （College of Geophysics and Petroleum Resources，Yangtze University，Wuhan 430100，China） |
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| Abstract: | Ultrasonic imaging logging is not affected by the mud conductivity，fracture in the oil-base mud wells can be more accurately evaluated，has the characteristics that electric imaging logging cannot be replaced.Aiming at the problem of fracture identification under oil-based mud，the image segmentation of Ultrasonic imaging was carried out by using the Curvelet transformation.This method is more sensitive for image edge，can extract the edge of the high-frequency image，which has a certain effect on the image segmentation. |
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| Keywords: | ,Curvelet, Ultrasonic imaging logging, image segmentation |
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