If you're looking for simpler, faster, and reliable edge detection algorithms, traditional methods like Canny, Sobel, Prewitt, and Laplacian are excellent choices.
For real-time applications or resource-constrained systems, simpler methods like Roberts or Prewitt may be the best.
However, if you need more robustness against noise or better edge accuracy, Canny or Scharr are preferred.
Are there simpler, faster and better edge detection algorithms that are not using neural nets?