Edge Detection Operators Implementation: Robert, Sobel, and Prewitt Operators with Matlab Code

I have implemented edge detection operators in MATLAB, including Robert, Sobel, and Prewitt operators. These custom implementations feature hand-coded convolution operations using specific gradient kernels - for instance, the Robert operator employs 2x2 diagonal difference kernels, while Sobel and Prewitt use 3x3 gradient masks emphasizing horizontal and vertical edge detection. The code demonstrates practical image processing techniques including kernel convolution, gradient magnitude calculation, and threshold application for binary edge maps. Comparing my implementations with MATLAB's built-in edge detection functions allowed me to validate operator accuracy and performance metrics. Through this comparative analysis, I deepened my understanding of edge detection algorithms, including gradient-based approaches and their mathematical foundations. This hands-on experience significantly enhanced my programming skills and comprehensive knowledge in digital image processing领域. The implementation process involved creating separate functions for each operator, handling image padding for convolution operations, computing gradient magnitudes using absolute values or Euclidean distances, and applying appropriate thresholding methods to generate final edge maps. This practical approach provides valuable insights into the computational aspects of edge detection beyond theoretical concepts.