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First derivative mask such as Robert, Prewitt, Sobel and Fri-chen are suitable to detect Step Edges

Question

First derivative mask such as Robert, Prewitt, Sobel and Fri-chen are suitable to detect Step Edges

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Sure, I can do that. However, you haven't provided any text for me to respond to. Could you please provide the text?

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Fri-chen are suitable to detect Step Edges

ow does cv2.goodFeaturesToTrack detect corners?It looks for areas with high gradient magnitude in the imageincorrectIt applies a threshold to the image and detects local maxima in the resulting binary imageIt looks for areas where the structure tensor has a small eigenvalueIt applies a Laplacian of Gaussian filter to the image and detects zero-crossings

Which of the following traversal methods is typically used to detect cycles in an undirected graph?Depth-First Search (DFS)Breadth-First Search (BFS)Dijkstra's algorithmPrim's algorithm

Low-pass filtering effect           Sensitivity to noise           High computational complexity           Inability to detect diagonal edges

Segmentation using Discontinuity Property :•Select one:NoneThis involves detection of  object  in the imageThis involves detection of  isolated  POINTs and  LINEs and   EDGEs  in the image

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