这一个利用模板匹配后定位识别Razor锯齿缺陷检测的例子
* ------------------------------------------------------------------------------------------------
* 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.
*切换后面计算的方法
USING_TRANSLATE_MEASURE := 0
* ------------------------------------------------------------------------------------------------
* general configuration of HDevelop
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') *设置后面绘制矩形的方式为仅外框非填充 ‘fill’
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)
*联立头尾两个Region，获取其center_pos，为后续定位做准备。
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)
*获取模板Region
inspect_shape_model (ImageROI, ShapeModelImage, ShapeModelRegion, 1, 30)
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
*以下是Template对应的监测区域位置。
Rect1Row := 244
Rect1Col := 73
DistColRect1Rect2 := 17
Rect2Row := Rect1Row
Rect2Col := Rect1Col + DistColRect1Rect2
RectPhi := rad(90)
RectLength1 := 122
RectLength2 := 2
*生成原始的带角度的矩形，方便待会有角度旋转后，圈定新的Target的范围
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')
*将region从sample图片上移动到模板图片对应的座标上
move_region (MeasureROI1, MeasureROI1Ref, -CenterROIRow, -CenterROIColumn)
move_region (MeasureROI2, MeasureROI2Ref, -CenterROIRow, -CenterROIColumn)
*前后三行get_system/set_system是为了Move_region时不移动window对应的范例
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
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)
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
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
*得到当前target对应的检测区域
affine_trans_region (MeasureROI1Ref, MeasureROI1AtNewPosition, MovementOfObject, 'constant')
affine_trans_region (MeasureROI2Ref, MeasureROI2AtNewPosition, MovementOfObject, 'constant')
dev_display (MeasureROI1AtNewPosition)
dev_display (MeasureROI2AtNewPosition)
*根据Template的中心座标计算全新的中心座标，以便生成全新的旋转矩阵
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
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
*根据定位结果得到仿射变换后矩形的倾角
RectPhiCheck := RectPhi + AngleCheck[i]
*生成全新的矩阵对应的测量操作符MeasureHandle
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
*根据牙齿的结构，它就是一个从暗到亮再到暗的亮度变化对，可以采用函数measure_pairs来进行计算，函数具体说明可以参看：
https://blog.csdn.net/mufeng008/article/details/84104099
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
*有多少个牙应该就有多少个亮暗对的宽度值，且对于断齿的地方就是其宽度突变的地方
NumberTeeth1 := |Width1|
NumberTeeth2 := |Width2|
dev_set_color ('red')
if (NumberTeeth1 < 37)
for j := 0 to NumberTeeth1 - 2 by 1
if (Distance1[j] > 4.0)
*定位坏牙的大概位置，标记出来
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)
以下是Sample的运行过程图：
定位用的shape_model
检测区域：
NG的标记：
