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Edge detection in image processing

Posted on July 15, 2021July 15, 2021 By christo No Comments on Edge detection in image processing

Edge detection is the most common approach in gray level discontinuity segmentation. An edge is a boundary between two regions having distinct intensity level. It is very useful in detecting of discontinuity in an image. When the image changes from dark to white or vice-versa

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The changes of intensity, first-order derivative and second-order derivative

First-order derivatives

First-order derivatives responds whenever there is discontinuity in intensity level. It is positive at the leading edge and negative at the trailing edge.

Example an image f(x, y) and gradient operator f

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Prewitt Edge operator

Prewitt Edge operator is used to detect edge in image processing through mask operator

Prewitt Edge operator mask

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Prewitt Edge operator mask

Prewitt Edge operator mask finds the horizontal edges is equivalent to gradient in the vertical direction and the mask compute the vertical edges is equivalent to gradient in the horizontal direction. Using these two masks passing to the intensity image, we can find out and component at different location in an image. So, we can find out the strength and direction of edge at that particular location (x, y)

Sobel Edge operator

Sobel Edge operator is used to detect edge in image processing through mask operator

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Sobel Edge operator

image processing Tags:Edge detection, Edge detection in image processing, Prewitt Edge operator, Sobel Edge operator

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