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April 18, 2026Advances in Structural Engineering

Component tree-driven MSSR-RG algorithm for crack segmentation in typical Tibetan heritage mural structures

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Authors

NYNa YangSWShuo WangGWGuang-Yu Wu

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Overview

Algorithm improves crack segmentation accuracy in Tibetan heritage murals, indicating enhanced preservation effectiveness.

Key Points

  • To develop an effective algorithm for crack segmentation in Tibetan heritage mural structures, addressing challenges like poor lighting and complex backgrounds.
  • Developed a component tree-driven MSSR-RG algorithm based on modified single-scale Retinex (MSSR) and region growing (RG) algorithms.
  • Modified source code of SSR to enhance image quality under low illumination.
  • Established hierarchical relationships in the component tree by adjusting MSSR parameters iteratively.
  • Implemented a masking algorithm to optimize similarity criteria for pixel classification.
  • Achieved over 90% F1-score for crack segmentation through comparison with high-precision manual annotations.
  • Demonstrated increased efficiency in crack detection under difficult conditions, confirming the algorithm's effectiveness.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69e3211640886becb65403f6https://doi.org/10.1177/13694332261441092
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