Howtosignalprocessing
- What is directional edge detection?
- Which method is used for edge detection?
- How can you detect edges with gradient filters?
- What is the difference between Sobel and Canny edge detection?
What is directional edge detection?
It is a local property of an individual pixel and is calculated from the image function in a neighborhood of the pixel. Edge detection is a fundamental operation in computer vision and image processing. It concerns the detection of significant variations of a grey level image.
Which method is used for edge detection?
Common edge detection algorithms include Sobel, Canny, Prewitt, Roberts, and fuzzy logic methods. Image segmentation using the Sobel method. Image segmentation using the Canny method. Image segmentation using a Fuzzy Logic method.
How can you detect edges with gradient filters?
Vertical edges can be detected by using a horizontal gradient operator followed by a threshold operation to detect the extreme values of the gradient. The gradient produces a doublet of extremes, positive-negative or negative-positive, depending on the direction of the transition.
What is the difference between Sobel and Canny edge detection?
Sobel edge detection method cannot produce smooth and thin edge compared to canny method. But same like other method, Sobel and Canny methods also very sensitive to the noise pixels. Sometime all the noisy image can not be filtered perfectly. Unremoved noisy pixels will effect the result of edge detection.
