Halcon形状模板匹配
作者：互联网
总结：
（1）inspect_shape_model(Image : ModelImages, ModelRegions : NumLevels, Contrast : ) 用于确定create_shape_model的Contrast和NumLevels参数，并显示图像效果，因此一般在create_shape_model之前使用。
（2）create_shape_model ： 创建模板，其中参数MinContrast来过滤find_shape_models中找到的目标的中对比度小于阈值的目标，而使其忽略匹配
（3）get_shape_model_contours：用于观察create_shape_model模板的轮廓，生成位置在0点
（4）find_shape_model：查找模板，如果NumLevels参数设置为0则使用create_shape_model 中设置的NumLevels值。
（5）clear_shape_model (ModelID)：关闭模板句柄
（6）dev_display_shape_matching_results：外部函数，展示所有查找到的目标的轮廓，但仅显示在底层金字塔的图像
（7）get_hom_mat2d_from_matching_result：外部函数，获取从模板轮廓初始生成位置移动到定位目标位置的变换矩阵
（8）write_shape_model：将模板写入文件
（9）其他：
read_shape_model;
create_scaled_shape_model;
create_shape_model_xld;
create_scaled_shape_model_xld;
set_shape_model_param;
get_shape_model_param;
find_shape_models;
find_scaled_shape_models;
案例一、align_measurements
* ------------------------------------------------------------------------------------------------
* This example program uses shape-based matching to align ROIs for the measure
* tool, which then inspects individual razor blades.
* The program can be run in two modes: (1) with the full affine transformation
* (2) using translate_measure
* Modify the next line to switch between the modes.
USING_TRANSLATE_MEASURE := 0
* ------------------------------------------------------------------------------------------------
* general configuration of HDevelopS
dev_update_window ('off')
* image acquisition and window size
read_image (ModelImage, 'razors1')
get_image_pointer1 (ModelImage, Pointer, Type, Width, Height)
dev_close_window ()
dev_open_window (0, 0, Width, Height, 'white', WindowHandle)
dev_set_part (0, 0, Height - 1, Width - 1)
dev_display (ModelImage)
* colors and other settings for the visualization
dev_set_color ('cyan')
dev_set_draw ('margin')
dev_set_line_width (2)
stop ()
* ------------------- start of the application ----------------
* -> select the model object
Row1 := 46
Column1 := 57
Row2 := 79
Column2 := 94
gen_rectangle1 (ROIPart1, Row1, Column1, Row2, Column2)
gen_rectangle1 (ROIPart2, Row1 + 364, Column1 + 13, Row2 + 364, Column2 + 13)
union2 (ROIPart1, ROIPart2, ModelROI)
area_center (ModelROI, Area, CenterROIRow, CenterROIColumn)
dev_display (ModelImage)
dev_display (ModelROI)
stop ()
* -> create the model
reduce_domain (ModelImage, ModelROI, ImageROI)
*创建模板
create_shape_model (ImageROI, 4, 0, 0, 'auto', 'none', 'use_polarity', 30, 10, ModelID)
*该函数用于事先确定创建模板时的对比度Contrast参数，临时使用
inspect_shape_model (ImageROI, ShapeModelImage, ShapeModelRegion, 1, 30)
*得到模板的轮廓图，方便后面找到目标后进行观察，仅起到观察作用，生成位置在左上角像素为0的位置
*可设置金字塔层数
get_shape_model_contours (ShapeModel, ModelID, 1)
dev_clear_window ()
dev_set_color ('blue')
dev_display (ShapeModelRegion)
stop ()
* step 1: create variables describing the measurement ROIs and display them
Rect1Row := 244
Rect1Col := 73
DistColRect1Rect2 := 17
Rect2Row := Rect1Row
Rect2Col := Rect1Col + DistColRect1Rect2
RectPhi := rad(90)
RectLength1 := 122
RectLength2 := 2
*生成两个矩形区域，用于显示检测的区域，仅用于观察
gen_rectangle2 (MeasureROI1, Rect1Row, Rect1Col, RectPhi, RectLength1, RectLength2)
gen_rectangle2 (MeasureROI2, Rect2Row, Rect2Col, RectPhi, RectLength1, RectLength2)
dev_display (ModelImage)
dev_set_color ('yellow')
dev_display (MeasureROI1)
dev_display (MeasureROI2)
* translate measurement ROIs to lie on XLD model (without clipping!)
get_system ('clip_region', OriginalClipRegion)
set_system ('clip_region', 'false')
*把矩形移动到和上面模板相同的位置，在相对位置上组成一个检测整体
*模板匹配用于定位，矩形用于跟随定位到位后执行检测
move_region (MeasureROI1, MeasureROI1Ref, -CenterROIRow, -CenterROIColumn)
move_region (MeasureROI2, MeasureROI2Ref, -CenterROIRow, -CenterROIColumn)
set_system ('clip_region', OriginalClipRegion)
DistRect1CenterRow := Rect1Row - CenterROIRow
DistRect1CenterCol := Rect1Col - CenterROIColumn
DistRect2CenterRow := Rect2Row - CenterROIRow
DistRect2CenterCol := Rect2Col - CenterROIColumn
if (USING_TRANSLATE_MEASURE != 0)
* -> measure objects are created only once in advance and then translated later
*（路径选项2）仿照上面的矩形生成实际的矩形测量工具，此时测量工具还不在目标位置
gen_measure_rectangle2 (Rect1Row, Rect1Col, RectPhi, RectLength1, RectLength2, Width, Height, 'bilinear', MeasureHandle1)
gen_measure_rectangle2 (Rect2Row, Rect2Col, RectPhi, RectLength1, RectLength2, Width, Height, 'bilinear', MeasureHandle2)
endif
stop ()
* step 2: find the objects in another image
read_image (SearchImage, 'razors2')
dev_display (SearchImage)
*根据模板定位到每一个目标，得到目标的位置
find_shape_model (SearchImage, ModelID, 0, 0, 0.8, 0, 0.5, 'least_squares', 0, 0.7, RowCheck, ColumnCheck, AngleCheck, Score)
if (|Score| > 0)
for i := 0 to |Score| - 1 by 1
* step 3: determine the affine transformation
*将用于观察的模板轮廓移动到目标位置，用于观察
vector_angle_to_rigid (0, 0, 0, RowCheck[i], ColumnCheck[i], AngleCheck[i], MovementOfObject)
affine_trans_contour_xld (ShapeModel, ModelAtNewPosition, MovementOfObject)
dev_display (ModelAtNewPosition)
* step 4: measure width and distance of the teeth
* -> display the moved ROIs
*将用于观察的矩形轮廓移动到目标位置，用于观察
affine_trans_region (MeasureROI1Ref, MeasureROI1AtNewPosition, MovementOfObject, 'constant')
affine_trans_region (MeasureROI2Ref, MeasureROI2AtNewPosition, MovementOfObject, 'constant')
dev_display (MeasureROI1AtNewPosition)
dev_display (MeasureROI2AtNewPosition)
affine_trans_pixel (MovementOfObject, DistRect1CenterRow, DistRect1CenterCol, Rect1RowCheck, Rect1ColCheck)
affine_trans_pixel (MovementOfObject, DistRect2CenterRow, DistRect2CenterCol, Rect2RowCheck, Rect2ColCheck)
if (USING_TRANSLATE_MEASURE != 0)
* -> translate the already created measure objects
*（路径选项2）把实际的测量矩形移动到目标位置
translate_measure (MeasureHandle1, Rect1RowCheck, Rect1ColCheck)
translate_measure (MeasureHandle2, Rect2RowCheck, Rect2ColCheck)
measure_pairs (SearchImage, MeasureHandle1, 2, 25, 'negative', 'all', RowEdge11, ColEdge11, Amp11, RowEdge21, ColEdge21, Amp21, Width1, Distance1)
measure_pairs (SearchImage, MeasureHandle2, 2, 25, 'negative', 'all', RowEdge12, ColEdge12, Amp12, RowEdge22, ColEdge22, Amp22, Width2, Distance2)
else
* -> create new measure objects and destroy them after the measurement
*仿照上面的矩形生成实际的矩形测量工具
RectPhiCheck := RectPhi + AngleCheck[i]
gen_measure_rectangle2 (Rect1RowCheck, Rect1ColCheck, RectPhiCheck, RectLength1, RectLength2, Width, Height, 'bilinear', MeasureHandle1)
gen_measure_rectangle2 (Rect2RowCheck, Rect2ColCheck, RectPhiCheck, RectLength1, RectLength2, Width, Height, 'bilinear', MeasureHandle2)
* step 5: perform the measurement
*启动测量
measure_pairs (SearchImage, MeasureHandle1, 2, 25, 'negative', 'all', RowEdge11, ColEdge11, Amp11, RowEdge21, ColEdge21, Amp21, Width1, Distance1)
measure_pairs (SearchImage, MeasureHandle2, 2, 25, 'negative', 'all', RowEdge12, ColEdge12, Amp12, RowEdge22, ColEdge22, Amp22, Width2, Distance2)
close_measure (MeasureHandle1)
close_measure (MeasureHandle2)
endif
* step 6: check for too short or missing teeth
NumberTeeth1 := |Width1|
NumberTeeth2 := |Width2|
dev_set_color ('red')
*判断是否缺少齿数
if (NumberTeeth1 < 37)
for j := 0 to NumberTeeth1 - 2 by 1
if (Distance1[j] > 4.0)
RowFault := round(0.5 * (RowEdge11[j + 1] + RowEdge21[j]))
ColFault := round(0.5 * (ColEdge11[j + 1] + ColEdge21[j]))
disp_rectangle2 (WindowHandle, RowFault, ColFault, 0, 4, 4)
dev_open_window (0, Width + 20, 80, 80, 'black', WindowHandleZoom)
dev_set_part (RowFault - 10, ColFault - 10, RowFault + 10, ColFault + 10)
dev_display (SearchImage)
disp_rectangle2 (WindowHandleZoom, RowFault, ColFault, 0, 4, 4)
stop ()
dev_close_window ()
dev_set_part (0, 0, Height - 1, Width - 1)
endif
endfor
endif
if (NumberTeeth2 < 37)
for j := 0 to NumberTeeth2 - 2 by 1
if (Distance2[j] > 4.0)
RowFault := round(0.5 * (RowEdge12[j + 1] + RowEdge22[j]))
ColFault := round(0.5 * (ColEdge12[j + 1] + ColEdge22[j]))
disp_rectangle2 (WindowHandle, RowFault, ColFault, 0, 4, 4)
dev_open_window (0, Width + 20, 80, 80, 'black', WindowHandleZoom)
dev_set_part (RowFault - 10, ColFault - 10, RowFault + 10, ColFault + 10)
dev_display (SearchImage)
disp_rectangle2 (WindowHandleZoom, RowFault, ColFault, 0, 4, 4)
stop ()
dev_close_window ()
dev_set_part (0, 0, Height - 1, Width - 1)
endif
endfor
endif
dev_set_color ('yellow')
stop ()
endfor
endif
* ------------------- end of the application -----------------
* clean up
if (USING_TRANSLATE_MEASURE != 0)
close_measure (MeasureHandle1)
close_measure (MeasureHandle2)
endif
dev_update_window ('on')
clear_shape_model (ModelID)案例二、check_soft_cheese
* The following example shows a production line, which carries
* packages of soft cheese. The cheese packages consist of three
* types of flavor: cream, ham and paprika. During quality
* inspection each package is checked for its right content.
* Each has to contain 4 pieces of cream cheese ('Sahne'),
* 2 pieces of ham ('Schinken') and 2 pieces of paprika ('Paprika')
* - any deviation is reported otherwise. To obtain the number of
* each flavor, we use the shape-based matching feature. After we
* define the models, we count the occurrence of the models to
* get the actual number of the cheese flavors. Finally we give out
* the statistics for each inspection.
*
dev_close_window ()
dev_update_off ()
read_image (Image, 'food/soft_cheese_01')
dev_open_window_fit_image (Image, 0, 0, -1, -1, WindowHandle)
set_display_font (WindowHandle, 14, 'mono', 'true', 'false')
dev_set_line_width (2)
*
*
* As a first step, determine the shape models for the three flavors
rgb1_to_gray (Image, GrayImage)
*生成填充的多边形区域
gen_region_polygon_filled (Paprika, [77,84,203], [306,405,347])
erosion_circle (Paprika, Paprika, 3.5)
PaprikaCount := 2
gen_region_polygon_filled (Cream, [94,171,210], [424,488,363])
erosion_circle (Cream, Cream, 3.5)
CreamCount := 4
gen_region_polygon_filled (Ham, [185,285,225], [496,492,367])
erosion_circle (Ham, Ham, 3.5)
HamCount := 2
*
reduce_domain (GrayImage, Paprika, ImageReduced)
*inspect_shape_model (ImageReduced, ModelImages, ModelRegions, 1, 25) *用于确定模板的Contrast
create_shape_model (ImageReduced, 'auto', 0, rad(360), rad(1.5), ['point_reduction_high','no_pregeneration'], 'use_polarity', [25,50], 'auto', ModelID1)
*get_shape_model_contours (Contour, ModelID1, 1) *查看模板的轮廓
reduce_domain (GrayImage, Cream, ImageReduced)
create_shape_model (ImageReduced, 'auto', 0, rad(360), rad(1.5), ['point_reduction_high','no_pregeneration'], 'use_polarity', [25,50], 'auto', ModelID2)
reduce_domain (GrayImage, Ham, ImageReduced)
create_shape_model (ImageReduced, 'auto', 0, rad(360), rad(1.5), ['point_reduction_high','no_pregeneration'], 'use_polarity', [25,50], 'auto', ModelID3)
*
*
* Check for the occurrence of each cheese flavor by using the find model tool
ModelIDs := [ModelID1,ModelID2,ModelID3]
ColorIndex := ['red','magenta','yellow']
TypesIndex := ['P','C','H']
*
NumImages := 18
for Index := 1 to NumImages by 1
AnglesTypes := []
Types := []
read_image (Image, 'food/soft_cheese_' + Index$'02')
rgb1_to_gray (Image, GrayImage)
threshold (GrayImage, Region, 70, 255)
fill_up (Region, RegionFillUp)
opening_circle (RegionFillUp, RegionOpening, 3.5)
reduce_domain (GrayImage, RegionOpening, ImageReduced)
shape_trans (RegionOpening, Circle, 'outer_circle')
find_shape_models (ImageReduced, ModelIDs, 0, rad(360), 0.5, 8, 0.5, 'least_squares', 0, 0.8, Row, Column, Angle, Score, ModelIndex)
area_center (Circle, Area, RowObj, ColumnObj)
*
* display found matches and all over statistics
dev_clear_window ()
dev_display (Image)
if (|Score| == 0)
disp_message (WindowHandle, 'No Model found!', true, 25, 20, 'black', 'true')
else
CountModels := [0,0,0]
for I := 0 to |Score| - 1 by 1
Types := [Types,TypesIndex[ModelIndex[I]]]
dev_set_color (ColorIndex[ModelIndex[I]])
CountModels[ModelIndex[I]] := CountModels[ModelIndex[I]] + 1
get_shape_model_contours (Contour, ModelIDs[ModelIndex[I]], 1)
vector_angle_to_rigid (0, 0, 0, Row[I], Column[I], Angle[I], HomMat2D)
affine_trans_contour_xld (Contour, ContoursAffineTrans, HomMat2D)
dev_display (ContoursAffineTrans)
*
* remember order of flavors
affine_trans_point_2d (HomMat2D, 0, 0, RowPiece, ColumnPiece)
angle_lx (RowObj, ColumnObj, RowPiece, ColumnPiece, AngleTyp)
if (deg(AngleTyp) > 0)
AnglesTypes := [AnglesTypes,deg(AngleTyp)]
else
AnglesTypes := [AnglesTypes,360 + deg(AngleTyp)]
endif
endfor
*
display_statistic (Circle, WindowHandle, CountModels, PaprikaCount, CreamCount, HamCount, AnglesTypes, Types)
*
endif
if (Index < NumImages)
disp_continue_message (WindowHandle, 'black', 'true')
stop ()
endif
endfor标签：set,匹配,dev,Halcon,shape,measure,model,display,模板 来源： https://blog.csdn.net/stephon_100/article/details/120787813