find_rectification_grid — 分割图像中的校正网格区域。
find_rectification_grid(Image : GridRegion : MinContrast, Radius : )
find_rectification_grid searches in the image Image for
image parts that contain the rectification grid and returns them in the
region GridRegion.
To do so, essentially image areas with a contrast of
at least MinContrast are extracted and the holes in these areas
are filled up. Then, an opening with the radius Radius is applied
to these areas to eliminate smaller areas of high contrast.
During grid-rectification, a careful reduction of the input region to those
image parts that actually contain the rectification grid is useful for two
purposes:
First, the computing time can be reduced and secondly,
saddle_points_sub_pix
and connect_grid_points can be prevented from detecting false grid
points and connecting lines.
Image (输入对象) singlechannelimage → object (byte / uint2)
输入图像。
GridRegion (输出对象) region → object
Output region containing the rectification grid.
MinContrast (输入控制) number → (real / integer)
Minimum contrast.
默认值： 8.0
建议值： 2.0, 4.0, 8.0, 16.0, 32.0
限制：
MinContrast >= 0
Radius (输入控制) real → (real / integer)
Radius of the circular structuring element.
默认值： 7.5
建议值： 1.5, 2.5, 3.5, 4.5, 5.5, 7.5, 9.5, 12.5, 15.5, 19.5, 25.5, 33.5, 45.5, 60.5, 110.5
限制：
Radius >= 0.5
find_rectification_grid (Image, GridRegion, 8, 10)
dilation_circle (GridRegion, GridRegionDilated, 5.5)
reduce_domain (Image, GridRegionDilated, ImageReduced)
saddle_points_sub_pix (ImageReduced, 'facet', 1.5, 5, Row, Column)
connect_grid_points (ImageReduced, ConnectingLines, Row, Column, 1.1, 5.5)
gen_grid_rectification_map (ImageReduced, ConnectingLines, Map, Meshes, 20, \
'auto', Row, Column, 'bilinear')
map_image (Image, Map, ImageMapped)
find_rectification_grid returns 2 (
H_MSG_TRUE)
if all parameter values are
correct。如有必要，则抛出异常。
dilation_circle,
reduce_domain
标定