Howtosignalprocessing
- What is threshold value in edge detection?
- What is the effect of changing threshold value in case of Canny Edge Detection?
- What value of sigma in auto Canny Edge Detection gives good results on most of the dataset?
- What is edge detection gradient?
What is threshold value in edge detection?
Such a standardized statistic based on the gradient vector at each pixel is used to determine the eligibility of the pixel to be an edge pixel. The results obtained from the proposed method are found to be comparable to those from many well-known edge detectors.
What is the effect of changing threshold value in case of Canny Edge Detection?
The reason is, at lower thresholds the Canny edge detector obtains too many edges, many of which may be weak and noisy. In contrast, when the thresholds were increased, only strong edges were detected; therefore, the robustness of the ARCSS detector increased. However, when the thresholds were increased above low = 0 .
What value of sigma in auto Canny Edge Detection gives good results on most of the dataset?
In practice, sigma=0.33 tends to obtain good results. In general, you'll find that the automatic, zero-parameter version of the Canny edge detection is able to obtain fairly decent results with little-to-no effort on your part.
What is edge detection gradient?
Edge Detection Operators are of two types: Gradient – based operator which computes first-order derivations in a digital image like, Sobel operator, Prewitt operator, Robert operator. Gaussian – based operator which computes second-order derivations in a digital image like, Canny edge detector, Laplacian of Gaussian.
