示例四：measure_fill_level.hdev
此示例缺陷检测使用的方法是：模板匹配定位 + 测量
大体思路如下：
1. 采集图像
2. 通过模板匹配定位找到参考线
3. 用测量矩形找液面的边
4. 计算边缘和参考线之间的距离
代码分析如下：
* 读取图像
dev_close_window ()
dev_update_off ()
read_image (Image, 'ampoules/ampoules_01')
get_image_size (Image, Width, Height)
dev_open_window_fit_image (Image, 0, 0, -1, -1, WindowHandle)
dev_set_line_width (2)
dev_set_draw ('margin')
set_display_font (WindowHandle, 16, 'mono', 'true', 'false')
*
* Create a model for the ampoule head to align the measure handle
* 创建模板
gen_rectangle1 (Rectangle, 230, 280, 317, 330)
reduce_domain (Image, Rectangle, ImageModel)
create_shape_model (ImageModel, 'auto', 0, 0, 'auto', 'auto', 'use_polarity', 'auto', 'auto', ModelID)
*
* Initialize the measure handle
* 生成一个初始的测量矩形，得到测量句柄
gen_measure_rectangle2 (0, 0, rad(90), 75, 20, Width, Height, 'bilinear', MeasureHandle)
Tolerance := 15
*
* Determine the fill level
NumImages := 8
for Index := 1 to NumImages by 1
* 读取图像
read_image (Image, 'ampoules/ampoules_' + Index$'.2d')
ColumnEdges := []
FillLevelHeight := []
*
* 模板匹配，此步骤是为了定位每一个药瓶一个位置的中心点坐标
* 为后续确定药水水平线的位置做准备
find_shape_model (Image, ModelID, 0, 0, 0.7, 0, 0.1, 'least_squares', 0, 0.9, Row, Column, Angle, Score)
* 对找到的所有，行坐标求平均值
MeanRow := mean(Row)
* 确定药水的水平线位置：以模板匹配获得的各个药水瓶的行坐标平均值为基准，
* 获得药水线的基准参考位置
RefLevel := MeanRow - 160
* Display tolerance area
dev_display (Image)
dev_set_line_width (1)
dev_set_color ('white')
gen_rectangle2 (AcceptLevel, RefLevel, mean(Column), 0, 30 + (max(Column) - min(Column)) / 2, Tolerance)
dev_display (AcceptLevel)
dev_set_line_width (2)
*
* Determine fill level of each ampoule
Errors := 0
for Idx := 0 to |Score| - 1 by 1
* 平移MeasureHandle句柄对应的测量对象
translate_measure (MeasureHandle, MeanRow - 135, Column[Idx])
* Search for the topmost edge
* 通过测量的方式，得到药水线的位置
measure_pos (Image, MeasureHandle, 2, 7, 'all', 'first', RowEdge, ColumnEdge, Amplitude, Distance)
* 下面的代码作用：显示各个药水瓶的药水线的位置，并且标识出是OK还是NG
* 判断的标准是：测量获得药水线高度坐标与药水线参考高度之间不能超过设置的
* 容忍范围（此处容忍范围是15）。
* 超过容忍范围，为NG
FillLevelHeight := [FillLevelHeight,RowEdge]
ColumnEdges := [ColumnEdges,ColumnEdge]
gen_cross_contour_xld (Cross, RowEdge, ColumnEdge, 15, 0)
gen_rectangle2 (FillLevel, RowEdge, ColumnEdge, 0, 28, 20)
if (abs(FillLevelHeight[Idx] - RefLevel) >= Tolerance)
gen_rectangle2 (ChamberSingle, MeanRow - 133, Column[Idx], 0, 35, 90)
gen_cross_contour_xld (Cross, FillLevelHeight[Idx], ColumnEdges[Idx], 15, 0)
gen_rectangle2 (FillLevel, FillLevelHeight[Idx], ColumnEdges[Idx], 0, 28, 20)
Errors := Errors + 1
dev_set_color ('red')
dev_display (ChamberSingle)
disp_message (WindowHandle, 'NG', 'image', FillLevelHeight[Idx] - 50, ColumnEdges[Idx] - 10, 'red', 'false')
else
disp_message (WindowHandle, 'OK', 'image', FillLevelHeight[Idx] - 50, ColumnEdges[Idx] - 10, 'green', 'false')
dev_set_color ('green')
endif
dev_display (FillLevel)
dev_display (Cross)
endfor
*
* Check, whether the fill level is within the allowed range - does not deviate too much
* from average fill level
*
* Display statistics
if (Errors > 0)
disp_message (WindowHandle, Errors + ' BAD', 'window', 10, 12, 'red', 'true')
else
disp_message (WindowHandle, 'All OK', 'window', 10, 12, 'forest green', 'true')
endif
if (Index < NumImages)
disp_continue_message (WindowHandle, 'black', 'true')
stop ()
endif
endfor
*
close_measure (MeasureHandle)
clear_shape_model (ModelID)