gray_range_rect — Determine the gray value range within a rectangle.
gray_range_rect(Image : ImageResult : MaskHeight, MaskWidth : )
gray_range_rect calculates the gray value range, i.e., the
difference (max - min) of the maximum and
minimum gray values, of the input image Image within a
rectangular mask of size (MaskHeight,
MaskWidth) for each image point. The resulting image is
returned in ImageResult. If the parameters
MaskHeight or MaskWidth are even, they are
changed to the next smaller odd value. At the border of the image
the gray values are mirrored.
Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter Filters.
Image (input_object) (multichannel-)image(-array) → object (byte / cyclic / uint2 / int2 / int4 / real)
Image for which the gray value range is to be calculated.
ImageResult (output_object) (multichannel-)image(-array) → object (byte / cyclic / uint2 / int2 / int4 / real)
Image containing the gray value range.
MaskHeight (input_control) extent.y → (integer)
Height of the filter mask.
Default: 11
Suggested values: 3, 5, 7, 9, 11, 13, 15
Value range:
3
≤
MaskHeight
≤
511 (lin)
Minimum increment: 2
Recommended increment: 2
Restriction:
odd(MaskHeight) && MaskHeight < height(Image) * 2
MaskWidth (input_control) extent.x → (integer)
Width of the filter mask.
Default: 11
Suggested values: 3, 5, 7, 9, 11, 13, 15
Value range:
3
≤
MaskWidth
≤
511 (lin)
Minimum increment: 2
Recommended increment: 2
Restriction:
odd(MaskWidth) && MaskWidth < width(Image) * 2
gray_range_rect returns 2 (
H_MSG_TRUE)
if all parameters are correct.
If the input is empty the behavior can be set via
set_system('no_object_result',<Result>).
If necessary, an exception is raised.
gray_dilation_rect,
gray_erosion_rect,
sub_image
Foundation