Journal of Jilin University(Earth Science Edition) ›› 2021, Vol. 51 ›› Issue (6): 1897-1907.doi: 10.13278/j.cnki.jjuese.20200186

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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. 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)

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

CLC Number: 

  • TP751
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