gray_range_rect — 确定矩形内的灰度值范围。
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.
请注意,若使用域缩减后的图像作为输入,滤波器算子可能会返回意外结果。请参阅 滤波器 一章
Image (输入对象) (multichannel-)image(-array) → object (byte / cyclic / uint2 / int2 / int4 / real)
Image for which the gray value range is to be calculated.
ImageResult (输出对象) (multichannel-)image(-array) → object (byte / cyclic / uint2 / int2 / int4 / real)
Image containing the gray value range.
MaskHeight (输入控制) extent.y → (integer)
Height of the filter mask.
默认值: 11
建议值: 3, 5, 7, 9, 11, 13, 15
值范围:
3
≤
MaskHeight
≤
511 (lin)
最小增量: 2
建议增量: 2
限制:
odd(MaskHeight) && MaskHeight < height(Image) * 2
MaskWidth (输入控制) extent.x → (integer)
Width of the filter mask.
默认值: 11
建议值: 3, 5, 7, 9, 11, 13, 15
值范围:
3
≤
MaskWidth
≤
511 (lin)
最小增量: 2
建议增量: 2
限制:
odd(MaskWidth) && MaskWidth < width(Image) * 2
gray_range_rect 在所有参数正确时返回 2 ( H_MSG_TRUE )。
如果输入为空则可设置行为通过 set_system('no_object_result',<Result>)。如有必要,则抛出异常。
gray_dilation_rect,
gray_erosion_rect,
sub_image
基础