Edge detection. A bit specialized for CS but it was the closest subject. 1) Supp

Question

Edge detection. A bit specialized for CS but it was the closest subject.

1) Suppose the Canny Direction (of gradient) is shown as the first symbol in the tabled pairs shown below. Suppose the second item in the pair is the Magnitude (of gradient). Indicate all pixels that will be selected as Peaks. (do not get answers for the border positions, but use their magnitudes as needed by the paired entrees, i.e., the 4x4 interior table. 0 0 ,13 ,3-23 ,3 0 , 13 , 23 23 , 23 0 0 ,13 ,35 23 13 0 -,23 I, 3 0 23 0

Explanation / Answer

In simple terms,

In an image, an edge is a curve that follows a path of rapid change in image intensity. Edges are often associated with the boundaries of objects in a scene. Edge detection is used to identify the edges in an image.

Edge Detection:

Edge detection is an image processing technique for finding the boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and machine vision.

Common edge detection algorithms include Sobel, Canny, Prewitt, Roberts, and fuzzy logic methods.

What are edges:

Sudden changes of discontinuities in an image are called as edges. Significant transitions in an image are called as edges.

Types of edges:

1)Horizontal edges

2)Vertical Edges

3)Diagonal Edges

Why detect edges

Most of the shape information of an image is enclosed in edges. So first we detect these edges in an image and by using these filters and then by enhancing those areas of image which contains edges, sharpness of the image will increase and image will become clearer.

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