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DOCUMENTATION CENTER SEARCH
Mathematica
>
Data Manipulation
>
Image Processing & Analysis
>
Image Filtering & Neighborhood Processing
>
Built-in
Mathematica
Symbol
Image Processing
Tutorials »
|
ListConvolve
ImageCorrelate
GaussianFilter
GradientFilter
DiskMatrix
BoxMatrix
GaussianMatrix
Dilation
ImageEffect
See Also »
|
Image Filtering & Neighborhood Processing
Image Processing & Analysis
Summary of New Features in 7.0
New in 7.0: Alphabetical Listing
New in 7.0: Data Manipulation
More About »
ImageConvolve
ImageConvolve
[
image
,
ker
]
gives the convolution of
image
with kernel
ker
.
MORE INFORMATION
The convolution kernel is given as a two-dimensional numerical matrix.
ImageConvolve
[
image
,
ker
]
by default gives an image of the same dimensions as
image
.
ImageConvolve
takes a
Padding
option. The default setting is
Padding
->"Fixed"
.
ImageConvolve
operates separately on each channel in an image.
EXAMPLES
CLOSE ALL
Basic Examples
(2)
Smooth an image by convoluting with a square kernel:
In[1]:=
Out[1]=
Convolve a grayscale image with a Sobel mask to detect vertical edges:
In[1]:=
Out[1]=
SEE ALSO
ListConvolve
ImageCorrelate
GaussianFilter
GradientFilter
DiskMatrix
BoxMatrix
GaussianMatrix
Dilation
ImageEffect
TUTORIALS
Image Processing
MORE ABOUT
Image Filtering & Neighborhood Processing
Image Processing & Analysis
Summary of New Features in 7.0
New in 7.0: Alphabetical Listing
New in 7.0: Data Manipulation
New in 7