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Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing.

Zhongbo Li¹, Chao Yin¹, Xixuan Zhang¹

¹School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China.

Sensors (Basel, Switzerland)

|November 25, 2023

Summary

This study introduces an image processing method for asphalt pavement crack analysis. It accurately segments, analyzes, and calculates crack parameters like length and width, improving practical engineering applications.

Keywords:

calculation of crack parameters crack segmentation and extraction image enhancement image processing pavement cracks

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Area of Science:

Civil Engineering
Materials Science
Computer Vision

Background:

Road crack detection is crucial for infrastructure maintenance.
Traditional manual methods are insufficient for modern demands.
Previous automated methods focused on identification and location, limiting practical use.

Purpose of the Study:

To develop an advanced image processing technique for asphalt pavement crack segmentation and parameter analysis.
To enhance the practical engineering applicability of automated crack detection systems.
To create a software system for automated crack detection and parameter output.

Main Methods:

Crack profile extraction using grayscale, histogram equalization, median filtering, Sauvola binarization, and connected domain thresholding.
Crack skeleton extraction via the Zhang-Suen thinning algorithm, followed by noise removal.
Calculation of physical crack parameters (area, width, length) using image calibration.

Main Results:

Local and connected domain thresholding effectively filtered noise while preserving crack details.
The Zhang-Suen algorithm efficiently extracted crack skeletons, and connected domain thresholding removed isolated noise.
The proposed method accurately calculated crack parameters (length, width, area) within an acceptable error margin compared to manual methods.

Conclusions:

The developed image processing method provides a robust solution for asphalt pavement crack analysis.
The integrated WSPCD1.0 system facilitates automated crack detection and parameter reporting.
This research significantly contributes to practical road maintenance and engineering applications.