*1、建立測量模型
create_metrology_model (metrologyhandle)
*2、設定測量模型影象尺寸
set_metrology_model_image_size (metrologyhandle, width, height)
*3、增加測量模型物件
add_metrology_object_circle_measure (metrologyhandle, row, column, radius,20,
5,1.5,2,
,, circleindex)
*4、設定測量物件引數
*4.1 設定引數 每個物件尋找兩個
set_metrology_object_param (metrologyhandle, circleindex,
'num_instances',2
)*4.2 設定引數 每個物件查詢方式相同
set_metrology_object_param (metrologyhandle, circleindex,
'measure_transition'
,'uniform')*
5、進行測量
*6、獲得測量結果
get_metrology_object_result_contour (contour, metrologyhandle, circleindex,
'all'
,1.5)*
7、獲得測量區域(長條矩形)及邊緣點座標
get_metrology_object_measures (contours, metrologyhandle,
'all'
,'all'
, row1, column1)
*8、擬合物件
fit_circle_contour_xld (contour,
'algebraic',-
1,0,
0,3,
2, row2, column2, radius1, startphi, endphi, pointorder)
*9、使用x標記圓心
gen_cross_contour_xld (cross, row2, column2,4,
0.785398)*
10、顯示
color :=[
'red'
,'green'
,'blue'
]dev_display (image)
dev_set_line_width (1)
dev_set_color (color[1]
)dev_display (contours)
dev_set_color (color[0]
)dev_display (contour)
dev_display (cross)
dev_set_color (color[2]
)*獲取圓心陣列列座標的最大最小值
tuple_max (column2, max)
tuple_min (column2, min)
for i :
=1 to |radius1|
-1 by 2
if(column2[i]
<
(max+min)/2
) set_tposition (windowhandle, row2[i]
, column2[i]-2
*radius1[i]
-100
)else
set_tposition (windowhandle, row2[i]
, column2[i]+2
*radius1[i]
) endif
write_string (windowhandle,
'外-內r ='
+(radius1[i]
-radius1[i-1]
))endfor
dump_window (windowhandle,
'png'
,'內外徑差測量結果'
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