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Non-Linear Edge Enhancement

Non-linear edge enhancements are performed using non-linear combinations of pixels. Many algorithms are applied using either 2x2 or 3x3 kernels. [Pg.63]

The Sobel edge detector is based on the notion of the 3x3 window and is computed according to the relationship  [Pg.63]

The operator detects horizontal, vertical, and diagonal edges. Each pixel in an image is declared an edge if its Sobel values exceeds some user-specified threshold. This information may be used to create the edge map, which often appears as a white line on a black background or vice versa. [Pg.64]

The gradient filters used to imply enhancement of edge gradient in two orthogonal directions, i.e., row and columns. In Kirsch the edge enhancement is carried out in 8 modulo. The gradient directions are East, North-east, North, North-west, West, South-west, South, and South-east. The template gradient 3x3 impulse response arrays were used where the scale factor was 1/15 [10], [Pg.64]


The Kirsch non-linear edge enhancement calculates the gradient at pixel location BV . The algorithm applied is ... [Pg.64]


See other pages where Non-Linear Edge Enhancement is mentioned: [Pg.61]    [Pg.63]   


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