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Feature recognition based on borehole image processing

机译:基于井眼图像处理的特征识别

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摘要

Image processing plays an important role in the industrial and engineering fields. The paper is mainly about feature recognition based on borehole image process. With the technique of image segmentation and edge detection, two important geological structures—fractures and vugs on the borehole image were identified, and quantitative geometric parameters were defined. Several case studies were included to verify the applicability and the effectiveness of this method.
机译:图像处理在工业和工程领域中起着重要作用。本文主要研究基于井眼图像处理的特征识别。利用图像分割和边缘检测技术,确定了两个重要的地质结构-井眼图像上的裂缝和孔洞,并定义了定量的几何参数。包括几个案例研究,以验证此方法的适用性和有效性。

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