MATLAB-Based Stripe Centerline Extraction Algorithm and Documentation

This MATLAB-based stripe centerline extraction program significantly enhances image analysis efficiency. The algorithm employs multiple sophisticated image processing techniques including edge detection methods (such as Canny or Sobel operators), various filtering approaches (Gaussian or median filters for noise reduction), and adaptive thresholding for binary image conversion to accurately extract stripe centerlines from input images. The implementation involves key MATLAB functions including: - imread() for image loading and preprocessing - edge() with customizable parameters for boundary detection - imfilter() or medfilt2() for smoothing operations - graythresh() and imbinarize() for optimal threshold selection - Morphological operations using bwmorph() for centerline refinement The package includes comprehensive documentation covering algorithm workflow, parameter optimization guidelines, and practical usage examples. This program enables researchers to conduct efficient image analysis and gain deeper understanding of applied image processing techniques through hands-on implementation. Users can modify the codebase to adapt to specific stripe patterns and imaging conditions.