Practical Case Studies in Image and Video Processing with MATLAB

In these comprehensive practical case studies, we explore advanced image and video processing techniques using MATLAB. We provide detailed code implementations that demonstrate how to design a sophisticated road crack detection and identification system, incorporating key image processing algorithms including edge detection methods (Canny, Sobel), morphological operations for noise reduction, and pattern recognition techniques for crack classification. Through these hands-on examples, you will learn how to apply image and video processing technologies to solve real-world engineering problems while enhancing your MATLAB programming skills. The tutorials include implementations of critical functions such as imread() for image input, rgb2gray() for color space conversion, and regionprops() for feature extraction. Whether you are a beginner seeking foundational knowledge or an experienced user looking to expand your expertise, these practical case studies offer valuable learning opportunities and implementation experience. Let's dive deep into the world of professional MATLAB image and video processing!