Explore MATLAB source code curated for "路面裂缝检测" with clean implementations, documentation, and examples.
Implementing a comprehensive image processing pipeline for pavement crack detection: converting images to grayscale, applying noise reduction filters, enhancing contrast through histogram equalization, differentiating between linear and mesh cracks, and quantitatively measuring crack length (linear) and area (mesh) for damage assessment.
This experimental demonstration showcases the application of image processing-based crack detection technology. Addressing the characteristics of road cracks including branching patterns, fine discontinuities, irregular distribution, and low contrast, the system implements a series of image preprocessing steps to highlight crack target regions. The implementation enhances automation levels for road surface inspection through GUI-based software module integration and data persistence using database storage, demonstrating considerable versatility across different scenarios.
System design for pavement crack detection and recognition using MATLAB with image processing algorithms
Detailed MATLAB image and video processing practical case studies with complete code implementation, featuring a comprehensive road crack detection and identification system design using edge detection, morphological operations, and pattern recognition algorithms