Fracture distribution identification method based on MATLAB image gray level

Through the MATLAB image grayscale level recognition method, the characteristic parameters of the drilling peep image are extracted and the three-dimensional crack distribution image is generated, which solves the problem of large recognition errors in traditional methods and improves the recognition accuracy and efficiency of rock mass crack distribution features.

CN119741446AInactive Publication Date: 2025-04-01CHINA UNIV OF MINING & TECH (BEIJING)
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Patent Information

Application Number
CN202411456561.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-18
Publication Date
2025-04-01
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a fracture distribution identification method based on MATLAB (matrix laboratory) image gray level, which takes a gray level co-occurrence matrix algorithm as a theoretical basis, is compiled by C + + language, and comprises the following steps: (1) importing a borehole peeping gray level image; (2) extracting feature parameters such as the gray value, the smoothness and the skewness of the image; (3) creating a transverse coordinate and a longitudinal coordinate representing a support image; (4) generating a grid point coordinate matrix; and (5) drawing a three-dimensional fracture distribution image. According to the method, the defects of the existing technology for observing the distribution characteristics of the fractures in the drill hole diagram are overcome, the problem of result deviation generated when the fractures in the hole are recognized and measured with naked eyes traditionally is solved, effective extraction of the texture characteristics of the fractures is achieved, and the integrity of the rock mass is better analyzed.
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