Halcon边缘检测和线条检测（2）-包含了形态学闭运算

*如果是畸变图,需要先校正
read_image (Image, 'D:/1.bmp')
get_image_size (Image, Width, Height)
*彩色转灰度图
count_channels (Image, Channels)
if (Channels == 3 or Channels == 4)
    rgb1_to_gray (Image, Image)
endif
*亚像素提取边缘,Alpha数值越大,轮廓越圆滑
edges_sub_pix (Image, Edges, 'lanser1', 1, 5, 10)
*合并邻近的XLD,使得细小线段拼接起来
union_adjacent_contours_xld (Edges, UnionContours, 5, 1, 'attr_keep')
*根据轮廓特征选择XLD
*这个算子用到的轮廓特征如下：contour-length轮廓长度，direction轮廓回归线方向，用参数min1，max1；
*curvature曲率，轮廓XLD到回归线的平均距离和标准差各有范围选择，平均距离使用参数min1，max1；
*标准差使用min2，max2，条件是在两参数的大小范围之内。
select_contours_xld (UnionContours, SelectedContours, 'contour_length', 20, 999999, -0.5, 0.5)
count_obj(SelectedContours, NumberContours)
for i := 1 to NumberContours by 1
    select_obj (SelectedContours, ObjectSelected, i)
    get_contour_xld (ObjectSelected, row, col)
endfor
dev_set_color ('green')
dev_display (Image)
dev_display (Edges)
dev_display (SelectedContours)
stop()
*形态学闭运算
R:=20
gen_image_const (ConstImage, 'byte', 2*R+1, 2*R+1)
get_image_size (ConstImage, MaskWidth, MaskHeight)
gen_circle (Circle, (MaskHeight - 1) / 2.0, (MaskWidth - 1) / 2.0, R)
reduce_domain (ConstImage, Circle, ImageReduced)
gray_closing (Image, ImageReduced, ImageClosing)
* gray_closing_shape(Image, ImageClosing, R, R, 'octagon')
*亚像素提取边缘,Alpha数值越大,轮廓越圆滑
edges_sub_pix (ImageClosing, Edges, 'lanser1', 1, 5, 10)
*合并邻近的XLD,使得细小线段拼接起来
union_adjacent_contours_xld (Edges, UnionContours, 5, 1, 'attr_keep')
*根据轮廓特征选择XLD
*这个算子用到的轮廓特征如下：contour-length轮廓长度，direction轮廓回归线方向，用参数min1，max1；
*curvature曲率，轮廓XLD到回归线的平均距离和标准差各有范围选择，平均距离使用参数min1，max1；
*标准差使用min2，max2，条件是在两参数的大小范围之内。
select_contours_xld (UnionContours, SelectedContours, 'contour_length', 100, 999999, -0.5, 0.5)
count_obj(SelectedContours, NumberContours)
maxArea := 0
index := 0
for i := 1 to NumberContours by 1
    select_obj (SelectedContours, ObjectSelected, i)
    area_center_xld (ObjectSelected, Area, Row1, Column1, PointOrder)
    if (Area > maxArea)
        maxArea := Area
        index := i
    endif
endfor
select_obj (SelectedContours, ObjectSelected, index)
get_contour_xld (ObjectSelected, Row2, Column2)
stop()
*无效set_system ('init_new_image', 'false')
gen_region_contour_xld (ObjectSelected, Region, 'filled')
gen_image_const (NewImage, 'byte', Width, Height)
*Create an image with a specified constant gray value
gen_image_proto (NewImage, ImageCleared1, 255)
*Paint regions into an image
paint_region (Region, ImageCleared1, ImageResult, 0, 'fill')
write_image (ImageResult, 'jpeg', 0, 'D:/1111.jpg')
*Overpaint regions in an image
gen_image_proto (NewImage, ImageCleared2, 255)
overpaint_region(ImageCleared2, Region, 0, 'fill')
*让黑色膨胀,让白色腐蚀
R:=3
gen_image_const (ConstImage, 'byte', 2*R+1, 2*R+1)
get_image_size (ConstImage, MaskWidth, MaskHeight)
gen_circle (Circle, (MaskHeight - 1) / 2.0, (MaskWidth - 1) / 2.0, R)
reduce_domain (ConstImage, Circle, ImageReduced)
gray_erosion (ImageResult, ImageReduced, ImageErosion)
edges_sub_pix (ImageErosion, EdgesErosion, 'lanser1', 1, 5, 10)
count_obj(EdgesErosion, NumberContours)
if (NumberContours == 1)
    get_contour_xld (EdgesErosion, Row3, Column3)
endif
stop()