Herror ::info_smooth (
    const HTuple &Filter,
    const HTuple &Alpha,
    HTuple *Size,
    HTuple *Coeffs
)

Information on smoothing filter ::smooth_image.

The operator ::info_smooth returns an estimation of the width of the smoothing filters used in routine ::smooth_image. For this purpose the underlying continuous impulse answers of Filter are scanned until a filter coefficient is smaller than five percent of the maximum coefficient (at the origin). Alpha is the filter parameter (see ::smooth_image). Currently four filters are supported (parameter Filter):

            'deriche1', 'deriche2', 'shen' und 'gauss'.
The gauss filter was conventionally implemented with filter masks (the other three are recursive filters). In the case of the gauss filter the filter coefficients (of the one-dimensional impulse answer f(n) with n >= 0) are returned in Coeffs in addition to the filter size.


Parameters

Filter (input_control)
string -> HTuple.char *
Name of required filter.
Default value: 'deriche2'
List of values: 'deriche1', 'deriche2', 'shen', 'gauss'

Alpha (input_control)
real -> HTuple.double
Filter parameter: small values effect strong smoothing (reversed in case of 'gauss').
Default value: 0.5
Suggested values: 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 5.0, 7.0, 10.0
Typical range of values: 0.01 <= Alpha <= 50.0
Minimum increment: 0.01
Recommended increment: 0.1
Restriction: Alpha > 0.0

Size (output_control)
integer -> HTuple.long *
Width of filter is approx. size x size pixels.

Coeffs (output_control)
integer-array -> HTuple.long *
In case of gauss filter: coeffients of the ``positive'' half of the 1D impulse answer.


Example
info_smooth('deriche2',0.5,Size,Coeffs);
smooth_image(Input,&Smooth,'deriche2',7);

Result

If the parameter values are correct the operator ::info_smooth returns the value H_MSG_TRUE. Otherwise an exception handling is raised.


Possible Predecessors

::read_image


Possible Successors

::smooth_image


See also

::smooth_image


Module

Image filters



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