Package boofcv.alg.filter.derivative
package boofcv.alg.filter.derivative

ClassDescriptionFunctions for image derivatives.The Laplacian is convolved across an image to find second derivative of the image.Different ways to reduce a gradientList of standard kernels used to compute the gradient of an image.Generalized operations related to compute different image derivatives.Operations for computing Prewitt image gradient.Contains functions that reduce the number of bands in the input image into a single band.Implementation of the standard 3x3 Scharr operator.Computes the image's first derivative along the x and y axises using the Sobel operator.Computes the image's first derivative along the x and y axises using [1 0 1] kernel.Computes the image's first derivative along the x and y axises using [1 1] kernel, where the "center" of the kernel is on the 1.Computes the image's first derivative along the x and y axises using [1 1] kernel, where the "center" of the kernel is on the 1.These functions compute the image hessian by computing the image gradient twice.Computes the second derivative (Hessian) of an image using.Computes the second derivative (Hessian) of an image using.Computes the determinant of a Hessian computed by differentiating using [1 0 1] kernel.
f(x,y) = Lxx*Lyy  Lxy^{2}
The Lxx and Lyy have a kernel of [1 0 2 0 1] and Lxy is: