Scalar Gradient

EasyImage::GradientScalar ^{.NET Python} computes the (scalar) gradient image derived from a given source image.

• The scalar value derived from the gradient depends on the preset lookup table image.

• The gradient of a grayscale image corresponds to a vector, the components of which are the partial derivatives of the gray-level signal in the horizontal and vertical direction. A vector can be characterized by a direction and a length, corresponding to the gradient orientation, and the gradient magnitude.

This function generates a gradient direction or gradient magnitude map (gray-level image) from a given gray-level image.

• For efficiency, a precomputed lookup table is used to define the desired transformation.

• The look-up table submitted as input must be initialized using EasyImage::ArgumentImage ^{.NET Python} or EasyImage::ModulusImage ^{.NET Python} once before calling EasyImage::GradientScalar ^{.NET Python}.

See Also

Code Snippets

Easy to understand, ready to copy code snippets.

Scalar Gradient

Canny Edge Detector

Detect edges using gradient magnitudes and hysteresis thresholding.

Canny Edge Detector