Pavement Crack Detection and Identification System Design

The system design for pavement crack detection and identification using MATLAB is critically important for infrastructure management. This system enables accurate detection and analysis of road surface cracks, thereby enhancing road safety and reliability. Through MATLAB implementation, developers can create efficient algorithms that automatically identify cracks using image processing techniques such as edge detection, threshold segmentation, and morphological operations. These algorithms typically process input images through preprocessing steps like noise reduction and contrast enhancement, followed by feature extraction and classification to generate detailed analysis reports. The system design also facilitates the collection of extensive data sets, enabling further research and analysis to improve road maintenance and repair methodologies. MATLAB's powerful computational capabilities allow for the implementation of sophisticated computer vision algorithms, including wavelet transform analysis and machine learning approaches for crack pattern recognition. In summary, the MATLAB-based pavement crack detection system provides valuable information and tools to enhance road quality and safety through automated, data-driven analysis.