MATLAB Implementation of Surface Crack Detection Algorithm

Abstract: This paper presents a MATLAB-based implementation of a surface crack detection algorithm utilizing digital image processing techniques. The algorithm employs sophisticated image processing methods including preprocessing filters, edge detection operators (such as Canny or Sobel), and morphological operations to precisely identify crack characteristics including position, length, and orientation. Implementation in MATLAB allows for efficient matrix operations and image analysis toolbox functions, enabling accurate feature extraction through thresholding and connected component analysis. When applied to automated crack detection systems and crack propagation behavior monitoring, this MATLAB implementation significantly reduces labor time and intensity while enhancing measurement accuracy. Furthermore, the algorithm demonstrates high robustness and stability through adaptive thresholding techniques and noise reduction filters, allowing it to accommodate various environmental conditions and surface types. The code structure includes modular functions for image enhancement, crack segmentation, and quantitative analysis, making it suitable for industrial applications and scientific research in material science and structural health monitoring.