基于Beamlet的岩心裂缝提取算法

Beamlet-based method of extraction from core fissures images

摘要:

提出了一种基于多尺度Beamlet变换的岩心裂缝图像提取算法。首先，将采集到的灰度岩心裂缝图像，用大津阈值分割算法转换为二值图像，再利用Beamlet变换，通过选取不同的尺度和检验阀值，从二值图像中提取裂缝的线性特征，并根据像素统计出裂缝的相关分析数据。实验结果表明，此算法能在较复杂的岩心背景和噪声干扰情况下提取清晰的岩心裂缝，效果满意。

Abstract:

This study proposed a Beamlet-based method of extraction from core fissures images. Firstly, the collected core fissures images were transferred to the binary images using Otsu's thresholding segmentation algorithm, then the Beamlet transform was exploited to extract the linear features of fissures from the binary images with different scales and thresholds, and the relevant analytical data of fissures were added up according to pixel values. The results showed that the proposed method could extract clear images of core fissures in the cases of complex core backgrounds and noises, achieving satisfactory performance.