New edge detection algorithm reduces noise and preserves more useful information!
Edge detection is a method used in vision technology to find object boundaries. A new algorithm was developed to improve the traditional Canny edge detection. Instead of using Gaussian filtering, they used median filtering to better handle noise. By enhancing the Sobel operator and adding an iterative threshold filter, false edges were reduced. The algorithm was found to be more robust to noise and preserved more accurate edge information compared to the original Canny method.