| 基于相干特征的岩石薄片序列图像边缘提取及颗粒分割 |
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| 引用本文： | 周恒,张春雷,张欣,陈庆轩,张艳,仲诚诚.基于相干特征的岩石薄片序列图像边缘提取及颗粒分割[J].吉林大学学报(地球科学版),2021,51(6):1897-1907. |
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| 作者姓名： | 周恒 张春雷 张欣 陈庆轩 张艳 仲诚诚 |
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| 作者单位： | 1. 中国地质大学(北京)数理学院, 北京 100083;2. 北京中地润德石油科技有限公司, 北京 100083;3. 北京师范大学统计学院, 北京 100875;4. 中国石油长庆油田第三采气厂, 西安 710016;5. 中国地质大学(北京)地球物理与信息技术学院, 北京 100083 |
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| 基金项目： | 国家科技重大专项（2016ZX05050） |
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| 摘 要： | 针对岩石颗粒边缘模糊、结构复杂的特点，为了更有效地识别颗粒边缘，在基于特征值的C3相干算法的基础上，融合多尺度和多角度的特征表达，提出了一种改进的C3相干算法。该算法综合考虑岩石薄片图像角度域光学特征、空间尺度信息和各向异性信息，能更有效地表征颗粒边缘特征，表现出对复杂矿物结构的适应能力。在采集的岩石薄片正交偏光图像上验证提出的算法，实验结果表明，与原生C3相干算法相比，改进后的C3相干算法在全局图像上的方差和灰度差分乘积分别提升了68.41%和22.91%，信息熵下降了21.61%。
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| 关 键 词： | 岩石薄片 正交偏光序列图像 改进的C3相干算法 边缘提取 相干特征融合 |
| 收稿时间： | 2020-08-19 |
Edge Extraction and Particle Segmentation Based on Coherent Features of Rock Slice Sequence Images |
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| Zhou Heng,Zhang Chunlei,Zhang Xin,Chen Qingxuan,Zhang Yan,Zhong Chengcheng.Edge Extraction and Particle Segmentation Based on Coherent Features of Rock Slice Sequence Images[J].Journal of Jilin Unviersity:Earth Science Edition,2021,51(6):1897-1907. |
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| Authors: | Zhou Heng Zhang Chunlei Zhang Xin Chen Qingxuan Zhang Yan Zhong Chengcheng |
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| Institution: | 1. School of Science, China University of Geosciences(Beijing), Beijing 100083, China;2. Beijing Zhongdi Runde Petroleum Technology Co., Ltd., Beijing 100083, China;3. School of Statistics, Beijing Normal University, Beijing 100875, China;4. No.3 Gas Production Plant, PetroChina Changqing Oilfield Company, Xi'an 710016, China;5. School of Geophysics and Information Technology, China University of Geosciences(Beijing), Beijing 100083, China |
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| Abstract: | Aiming at the characteristics of fuzzy edges and complex structures of rock particles, an improved C3 coherence algorithm is proposed to identify the edges of particles more effectively. The improved C3 coherence algorithm is based on eigenvalues, in which the multi-scale and multi-angle feature expressions are infused for improvement. It comprehensively considers the angle domain optical characteristics, spatial scale information, and anisotropy information of rock slice images so that the grain edges are characterized more effectively, which have strong noise resistance and adaptability to complex mineral structures. The proposed algorithm has been verified on the acquired orthogonal polarized images of rock slices. The experimental results show that compared with the native C3 coherence algorithm, the improved C3 coherent algorithm increases the variance and gray-scale difference product of the global image by 68.41% and 22.91%, and decreases the information entropy by 21.61%. |
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| Keywords: | rock thin slices orthogonal polarization sequence images improved C3 coherence algorithm edge extraction coherent feature fusion |
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