MATLAB-Based Crack and Scratch Detection

In industrial production, surface defects such as cracks, scratches, and discoloration frequently pose challenges for both manual inspection and machine vision systems. These defects are difficult to detect due to their irregular shapes, low contrast variations, and interference from natural textures or patterns on product surfaces. Successful surface defect detection requires optimized lighting conditions, high-resolution cameras, precise component-camera positioning, and advanced machine vision algorithms. The scratch detection process typically involves two key steps: first, identifying the presence of scratches on the product surface, and second, extracting the scratch features using image processing techniques.