Comparison of Four Edge Detection Methods in MATLAB with Code Implementation

In this article, we will compare and demonstrate four commonly used edge detection methods in MATLAB. Complete code implementations will be provided to help readers better understand and practice these techniques. Each method will be discussed in detail, including their advantages, limitations, and suitable application scenarios. Key implementation aspects covered will include: - Algorithm principles behind each edge detection method - MATLAB function usage and parameter optimization - Code structure and practical implementation considerations - Performance comparisons and output visualization techniques By understanding the characteristics of each approach, readers will be able to select the most appropriate edge detection method for their specific requirements and deepen their comprehension of MATLAB's image processing capabilities. The code examples will utilize MATLAB's Image Processing Toolbox functions such as edge() with different operators, including Sobel, Prewitt, Roberts, and Canny methods. Each implementation will demonstrate proper image preprocessing, parameter tuning, and result visualization using imshow() and subplot() functions for comparative analysis. Let's begin exploring these powerful edge detection techniques!