Detailed Implementation of Edge Detection Algorithms After Binarization

In this documentation, we provide a comprehensive explanation of the implementation details for edge detection algorithms applied after image binarization. These algorithms are programmed in MATLAB and include Roberts operator, Sobel operator, Prewitt operator, and LoG (Laplacian of Gaussian) algorithm. For each algorithm, we systematically explain the implementation principles and procedural steps while providing corresponding code examples. The Roberts operator implementation focuses on computing diagonal differences using convolution with 2x2 kernels, while the Sobel and Prewitt operators utilize 3x3 kernels for gradient calculation with different weighting strategies. The LoG algorithm combines Gaussian smoothing with Laplacian operator for enhanced edge localization. Through these detailed implementations, you will gain deeper insights into the significance and practical applications of edge detection in digital image processing, including threshold selection techniques and gradient magnitude computation methods.