A method for detecting and quantitatively evaluating the adhesion performance of asphalt and coarse aggregate by fluorescence imaging
By using fluorescence imaging detection methods combined with HSV color space processing, the problem of accurate quantitative evaluation of the adhesion performance between asphalt and dark aggregate interfaces was solved, achieving efficient and standardized asphalt pavement engineering inspection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING JIAOTONG UNIV
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are difficult to accurately and quantitatively evaluate the interfacial adhesion performance between asphalt and dark aggregates. They suffer from problems such as misidentification due to similar colors, large-area missegmentation, interference from surface reflection, limited detection scale, complex operation, and poor repeatability of results.
A fluorescence imaging detection method was adopted, in which asphalt-aggregate mixtures were labeled with fluorescent tracers. Combined with HSV color space image processing, the asphalt-covered and aggregate-exposed areas were identified and segmented. The asphalt stripping rate was calculated based on the number of pixels. Standardized image acquisition parameters and environmental configurations were established to achieve quantitative evaluation.
It achieves high-precision segmentation of the asphalt-aggregate interface, reduces detection errors, adapts to highway engineering standards, simplifies operation procedures, and improves detection efficiency, stability, and comparability of results. It is suitable for detecting coarse aggregates at the decimeter level.
Smart Images
Figure CN122409598A_ABST