Edge detection S, L, C
2016-08-23
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The basic idea of the edge detection is performed by detecting each pixel and its neighborhood state, to determine whether the pixel located on the boundary of an object. If a pixel is located on the border of an object, then the change in the value of its neighborhood gray pixel is relatively large. If you can apply some algorithm to detect and quantify this change represents, then you can determine the boundaries of the object.
Sobel operator based on pixels vertically and horizontally adjacent gray weighted point difference, to the extreme edge of this phenomenon is detected at the edges. Having a smoothing effect on the noise, to provide a more accurate edge direction information, edge positioning accuracy is not high enough. When precision is not very high, is a more commonly used edge detection method.
Laplace operator is an isotropic operator, is appropriate only when the position of the edge of care regardless of the surrounding pixel grayscale
Sobel operator based on pixels vertically and horizontally adjacent gray weighted point difference, to the extreme edge of this phenomenon is detected at the edges. Having a smoothing effect on the noise, to provide a more accurate edge direction information, edge positioning accuracy is not high enough. When precision is not very high, is a more commonly used edge detection method.
Laplace operator is an isotropic operator, is appropriate only when the position of the edge of care regardless of the surrounding pixel grayscale
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