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Sobel Edge Detection Prewitt Edge Detection Laplacian Kernel

Figure 14.11 Linear operators perform many different jobs. Embossing and bas-relief use local differences to create the appearance of light and shadow. Sobel and Prewitt kernels respond to neighborhoods with edge-like patterns. The Laplacian operator detects any difference between a pixel and its neighbors.

Sobel Edge Detection Prewitt Edge Detection Laplacian Kernel

Figure 14.11 Linear operators perform many different jobs. Embossing and bas-relief use local differences to create the appearance of light and shadow. Sobel and Prewitt kernels respond to neighborhoods with edge-like patterns. The Laplacian operator detects any difference between a pixel and its neighbors.

processing. The range of values in the output image may be small, calling for a linear stretch; or the values may be crowded into a narrow part of the histogram, ,requiring a nonlinear brightness scaling.

14.2.4.3 Line-Detection Operators

The Sobel, Kirsch, and Prewitt operators detect edges in images—they are sensitive to curves, points of light, and a variety of other abrupt changes in pixel value. To perform a specific task like detecting lines in an image, the kernel should be shaped like the feature sought. This kernel responds to horizontal lines:

Horizontal line detection:

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