feConvolveMatrix(input = NA, order = 3,
kernelMatrix = matrix(),
divisor = 1, bias = 0,
targetX = 1, targetY = 1,
edgeMode = c("duplicate", "wrap", "none"),
kernelUnitLength = NA, preserveAlpha = FALSE,
...)filterInputs.kernelMatrix. The values provided must be
integers greater than zero. The first number (orderX), indicates the
number of columns in the matrix.order.kernelMatrix to the input image to yield a
number, that number is divided by divisor to yield the final
destination colour value. A divisor that is the sum of all the
matrix values tends to have an kernelMatrix to the input image to yield a
number and applying the divisor, the bias attribute is
added to each component. One application of bias is when it
is desirable t
"duplicate"indicates that the inpdx value. The second number is the
dy value. If the dy value is not specified, it
defaults to the same value as dx. Indicates the intended
distance in current filter uFALSE indicates that the convolution will apply to
all channels, including the alpha channel. A value of TRUE indicates that the convolution will only
apply to the colour channels. In this case, the filter
fe.fe.convolve.matrix object.filterEffect, fe.