A method for analyzing microfracture networks in Antarctic rocks based on image processing

By employing high-resolution image acquisition and preprocessing techniques, combined with edge detection and morphological manipulation, the problems of sample scarcity and noise in the analysis of microfracture networks in Antarctic rocks have been solved. This has enabled automated and accurate analysis of microfracture networks in Antarctic rocks, providing accurate analytical results for complex fracture structures.

CN122089703APending Publication Date: 2026-05-26CHINA UNIV OF GEOSCIENCES (BEIJING)
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Patent Information

Application Number
CN202610275907.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-09
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Traditional methods for analyzing microfracture networks in Antarctic rocks suffer from problems such as sample scarcity, high image noise, low processing efficiency, and insufficient reconstruction accuracy, making it difficult to obtain efficient and accurate analytical results in extreme environments.

Method used

High-resolution image acquisition and preprocessing techniques, combined with edge detection and morphological operations, are used to automatically detect and segment cracks. The three-dimensional spatial distribution of cracks is represented by image reconstruction and point cloud data. Crack strength and thermodynamic properties are evaluated by combining mechanical analysis and heat conduction models.

Benefits of technology

This method enables automated and precise analysis of microfracture networks in Antarctic rocks, improving analysis efficiency and accuracy, overcoming the shortcomings of traditional methods, and providing accurate analysis results for complex fracture structures.

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Abstract

This invention relates to the field of Earth geological research technology, and provides a method for analyzing microfracture networks in Antarctic rocks based on image processing. The method includes the following steps: S1, image acquisition and preprocessing; S2, fracture detection and segmentation, including edge detection, image segmentation, morphological operations, and fracture feature extraction; S3, three-dimensional fracture network modeling, establishing the fracture network topology based on the pixel coordinates (x, y) of the two-dimensional image of the fracture segmentation map and weights related to sample depth, or obtaining depth information z through multi-angle image reconstruction, to construct a three-dimensional fracture network model; S4, fracture strength and thermodynamic analysis. This invention solves the problems of low efficiency and poor accuracy in the detection and analysis of microfractures in rocks in existing technologies by using automated image processing, morphological analysis, three-dimensional modeling, and fracture strength and thermodynamic analysis, and is applied to accurately extract microfracture information from Antarctic rocks.
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