图像锯齿消除python 原创

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mob64ca14133dc6 2025-01-04 19:19:21

文章标签 图像锯齿消除python 原创计算机视觉句柄模板匹配图像处理 文章分类 Python 后端开发

图像处理结果：

图像锯齿消除python 原创_图像处理

图像锯齿消除python 原创_模板匹配_02

图像锯齿消除python 原创_图像处理_03

主要思想：
1.创建模板，建立检测区域
2.在待检测区域，使用measure_pairs检测每一对锯齿的距离
3.使用距离进行OK,NG判断

代码如下：

*基于形状匹配的检测
 *测刮胡刀的锯齿，断还是没断
 USING_TRANSLATE_MEASURE := 0
 dev_update_window (‘off’)
 *读取图像
 read_image (ModelImage, ‘razors1’)
 *获取图像的数据信息
 get_image_pointer1 (ModelImage, Pointer, Type, Width, Height)
 dev_close_window ()
 *打开窗口
 dev_open_window (0, 0, Width, Height, ‘white’, WindowHandle)
 dev_set_part (0, 0, Height - 1, Width - 1)
 *显示图像
 dev_display (ModelImage)
 *设置颜色
 dev_set_color (‘cyan’)
 *填充方式
 dev_set_draw (‘margin’)
 *设置线宽为2个像素
 dev_set_line_width (2)
 stop ()
 *画
 Row1 := 46
 Column1 := 57
 Row2 := 79
 Column2 := 94
 *手动画一个区域，将这个区域的图像做模板匹配
 gen_rectangle1 (ROIPart1, Row1, Column1, Row2, Column2)
 *手动画一个区域，将这个区域的图像做模板匹配
 gen_rectangle1 (ROIPart2, Row1 + 364, Column1 + 13, Row2 + 364, Column2 + 13)
 *两个区域的联合
 union2 (ROIPart1, ROIPart2, ModelROI)
 *获得区域的中心坐标
 area_center (ModelROI, Area, CenterROIRow, CenterROIColumn)
 dev_display (ModelImage)
 *显示模板区域
 dev_display (ModelROI)
 stop ()
 *图像选择
 reduce_domain (ModelImage, ModelROI, ImageROI)
 *将刚刚上面确定的两个区域，联合起来，做为一个区域，做一个模板
 create_shape_model (ImageROI, 4, 0, 0, ‘auto’, ‘none’, ‘use_polarity’, 30, 10, ModelID)
 *创建形状模型的表示，可以理解为模板的骨架
 inspect_shape_model (ImageROI, ShapeModelImage, ShapeModelRegion, 1, 30)
 *获得模板的区域轮廓
 get_shape_model_contours (ShapeModel, ModelID, 1)
 *清空窗口
 dev_clear_window ()
 *设置颜色
 dev_set_color (‘blue’)
 *显示模板轮廓
 dev_display (ShapeModelRegion)
 stop ()• 形成两个待测区域的矩形，待测区域的坐标是模板匹配的坐标，待测区域的长度是人工手动设定的
 Rect1Row := 244
 Rect1Col := 73
 DistColRect1Rect2 := 17
 Rect2Row := Rect1Row
 Rect2Col := Rect1Col + DistColRect1Rect2
 RectPhi := rad(90)
 RectLength1 := 122
 RectLength2 := 2
 *左边待测区域
 gen_rectangle2 (MeasureROI1, Rect1Row, Rect1Col, RectPhi, RectLength1, RectLength2)
 *右边待测区域
 gen_rectangle2 (MeasureROI2, Rect2Row, Rect2Col, RectPhi, RectLength1, RectLength2)
 *显示待测图片
 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’)
 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
 *建立测量区域的句柄
 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 ()
 *读取待测图像
 read_image (SearchImage, ‘razors2’)
 dev_display (SearchImage)
 *找到对应的模板
 find_shape_model (SearchImage, ModelID, 0, 0, 0.8, 0, 0.5, ‘least_squares’, 0, 0.7, RowCheck, ColumnCheck, AngleCheck, Score)
 *|Score|代表一共找到多少个对应的模板
 if (|Score| > 0)
 for i := 0 to |Score| - 1 by 1
 *创建一个待测区域的变换矩阵
 vector_angle_to_rigid (0, 0, 0, RowCheck[i], ColumnCheck[i], AngleCheck[i], MovementOfObject)
 *获取模板的轮廓
 affine_trans_contour_xld (ShapeModel, ModelAtNewPosition, MovementOfObject)
 *显示轮廓
 dev_display (ModelAtNewPosition)     • 测试每个锯齿之间的距离
 *将左右的待测区域，变换到目前的测试图像上
 affine_trans_region (MeasureROI1Ref, MeasureROI1AtNewPosition, MovementOfObject, ‘constant’)
 affine_trans_region (MeasureROI2Ref, MeasureROI2AtNewPosition, MovementOfObject, ‘constant’)
 dev_display (MeasureROI1AtNewPosition)
 dev_display (MeasureROI2AtNewPosition)
 *应用仿射变换，变换到到像素坐标。
 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
 *建立测量的句柄
 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)• 使用measure_pairs，一对一对的测量
 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)
 *关闭测量句柄
 close_measure (MeasureHandle2)
 endif
 *左边的锯齿数量
 NumberTeeth1 := |Width1|
 *右边的锯齿数量
 NumberTeeth2 := |Width2|
 dev_set_color (‘red’)
 *如果左边的数量<37
 if (NumberTeeth1 < 37)
 for j := 0 to NumberTeeth1 - 2 by 1
 *计算每一对锯齿之间的角度
 if (Distance1[j] > 4.0)
 RowFault := round(0.5 * (RowEdge11[j + 1] + RowEdge21[j]))
 ColFault := round(0.5 * (ColEdge11[j + 1] + ColEdge21[j]))
 *将超过4像素的区域显示出来
 disp_rectangle2 (WindowHandle, RowFault, ColFault, 0, 4, 4)
新开一个8080大小的窗口，显示在原来窗口的右边
 dev_open_window (0, Width + 20, 80, 80, ‘black’, WindowHandleZoom)
 *显示区域
 dev_set_part (RowFault - 10, ColFault - 10, RowFault + 10, ColFault + 10)
 *显示缺陷图像
 dev_display (SearchImage)
 *再在小窗口上显示缺牙区域
 disp_rectangle2 (WindowHandleZoom, RowFault, ColFault, 0, 4, 4)
 stop ()
 *关闭窗口
 dev_close_window ()
 dev_set_part (0, 0, Height - 1, Width - 1)
 endif
 endfor
 endif
 *和左边一样，看上文注释即可
 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)
 *关闭测量句柄
 close_measure (MeasureHandle1)
 close_measure (MeasureHandle2)
 endif
 dev_update_window (‘on’)
 *清空模板
 clear_shape_model (ModelID)对应示例程序：
 align_measurements.hdev

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