-
image formed by
convolving with the
first kernel and G y ( x , y ) {\displaystyle G_{y}(x,y)} be a
point in an
image formed by
convolving with the second...
- same as
convolving the
image with a
Gaussian function. This is also
known as a two-dimensional Weierstr**** transform. By contrast,
convolving by a circle...
- the
simple case of
grayscale images, the
blurred images are
obtained by
convolving the
original grayscale images with
Gaussian kernels having differing width...
- functions, via convolution. Intuitively,
given a (generalized) function,
convolving it with a
mollifier "mollifies" it, that is, its
sharp features are smoothed...
- brightness. The Marr–Hildreth edge
detection method is
simple and
operates by
convolving the
image with the
Laplacian of the
Gaussian function, or, as a fast approximation...
-
excited by
latter parts of the command.
Input shaping is
implemented by
convolving a
sequence of impulses,
known as an
input shaper, with any
arbitrary command...
- the
continuous dependent variable from a
limited set of data
points by
convolving the data points'
locations with a
kernel function—approximately speaking...
-
vector or the norm of this vector. The Sobel–Feldman
operator is
based on
convolving the
image with a small, separable, and integer-valued
filter in the horizontal...
-
gradient vector or the norm of this vector. The
Prewitt operator is
based on
convolving the
image with a small, separable, and
integer valued filter in horizontal...
- of effects: The
above are just a few
examples of
effects achievable by
convolving kernels and images. The
origin is the
position of the
kernel which is...
