基于相干特征的岩石薄片序列图像边缘提取及颗粒分割

doi:10.13278/j.cnki.jjuese.20200186

吉林大学学报(地球科学版) ›› 2021, Vol. 51 ›› Issue (6): 1897-1907.doi: 10.13278/j.cnki.jjuese.20200186

基于相干特征的岩石薄片序列图像边缘提取及颗粒分割

周恒¹, 张春雷², 张欣³, 陈庆轩⁴, 张艳⁵, 仲诚诚¹

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

收稿日期:2020-08-19 出版日期:2021-11-26 发布日期:2021-11-24
通讯作者: 张春雷(1972-),教授级高工,博士,主要从事油气田表征、地质统计和机器学习等研究,E-mail:676935005@qq.com E-mail:676935005@qq.com
作者简介:周恒(1995-),硕士研究生,主要从事深度学习、图像处理和数据挖掘等研究,E-mail:401186059@qq.com
基金资助:
国家科技重大专项（2016ZX05050）

Edge Extraction and Particle Segmentation Based on Coherent Features of Rock Slice Sequence Images

Zhou Heng¹, Zhang Chunlei², Zhang Xin³, Chen Qingxuan⁴, Zhang Yan⁵, Zhong Chengcheng¹

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

Received:2020-08-19 Online:2021-11-26 Published:2021-11-24
Supported by:
Supported by the National Science and Technology Major Projection (2016ZX05050)

摘要/Abstract

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%。

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

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%.

Key words: rock thin slices, orthogonal polarization sequence images, improved C3 coherence algorithm, edge extraction, coherent feature fusion

中图分类号:

TP751

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.

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 University(Earth Science Edition), 2021, 51(6): 1897-1907.

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基于相干特征的岩石薄片序列图像边缘提取及颗粒分割

Edge Extraction and Particle Segmentation Based on Coherent Features of Rock Slice Sequence Images

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