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halcon学习笔记——摄像机标定

时间:2015-04-07 17:02:25      阅读:176      评论:0      收藏:0      [点我收藏+]

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1.read_cam_par( : : CamParFile : CameraParam) 
从文件夹中读取相机的内参数。 
2.disp_caltab( : : WindowHandle, CalTabDescrFile, CameraParam, CaltabPose, ScaleFac : ) 
利用相机内外参数,把标定板模型投影到图像平面,显示标定点和连接线,X,Y轴也被显示出来。 
3.vector_to_pose( : : WorldX, WorldY, WorldZ, ImageRow, ImageColumn, CameraParam, Method, QualityType : Pose, Quality) 
计算世界坐标和图像坐标之间关系的绝对位姿参数。其中世界坐标至少选择不在同一条直线上的三个点。 
世界坐标上的点如果在一个平面上,应该选择‘planar_analytic‘ 作为Method的参数。输出位姿和位姿质量。 
4.write_pose( : : Pose, PoseFile : ) 
把位姿写入TXT文件。 
5.get_mbutton( : : WindowHandle : Row, Column, Button) 
返回鼠标点击的图像点像素坐标,以及鼠标按钮值,左键0,中间键2,右键4. 
6.image_points_to_world_plane( : : CameraParam, WorldPose, Rows, Cols, Scale : X, Y) 
把图像坐标转化成Z=0平面的世界坐标,输出为世界坐标的X,Y 
7.pose_to_hom_mat3d( : : Pose : HomMat3D) 
把3D位姿转化成齐次变换矩阵。 
8.affine_trans_point_3d( : : HomMat3D, Px, Py, Pz : Qx, Qy, Qz) 
进行两个坐标系之间的3D坐标的仿射变换。 
       / Qx \             / Px \ 
| Qy | = HomMat3D * | Py | 
| Qz | | Pz | 
\ 1 / \ 1 / 
9.project_3d_point( : : X, Y, Z, CameraParam : Row, Column) 
把3D点映射到图像坐标系,返回图像坐标系中该点的行列坐标。 
  
10.smallest_rectangle2(Regions : : : Row, Column, Phi, Length1, Length2) 
返回包含一个区域的最小环绕矩形。 
11.gen_measure_rectangle2( : : Row, Column, Phi, Length1, Length2, Width, Height, Interpolation : MeasureHandle) 
返回和矩形边垂直的边缘。 
12.measure_pairs(Image : : MeasureHandle, Sigma, Threshold, Transition, Select : RowEdgeFirst, ColumnEdgeFirst, AmplitudeFirst, RowEdgeSecond, ColumnEdgeSecond, AmplitudeSecond, IntraDistance, InterDistance) 
抽取和矩形边垂直的边缘对。返回各测量对之间的距离。 
13.close_measure( : : MeasureHandle : ) 
删除测量句柄。 
14.gen_region_polygon_filled( : Region : Rows, Columns : ) 
创建多边形填充区域,输出为一个区域。 
15.gen_region_polygon_filled( : Region : Rows, Columns : ) 
提取直线极其宽度,输出为XLD形式数组。 
16.hom_mat3d_compose( : : HomMat3DLeft, HomMat3DRight : HomMat3DCompose) 
输出两个齐次矩阵的乘积。 
17.hom_mat3d_translate_local( : : HomMat3D, Tx, Ty, Tz : HomMat3DTranslate) 
相对于新坐标系统,增加一个平移量到齐次矩阵HomMat3D中,输出为新的齐次矩阵。 
18.hom_mat3d_rotate_local( : : HomMat3D, Phi, Axis : HomMat3DRotate) 
相对于新坐标系统,增加一个绕着某个坐标轴的旋量到齐次矩阵HomMat3D中,输出为新的齐次矩阵。 
17.contour_to_world_plane_xld(Contours : ContoursTrans : CameraParam, WorldPose, Scale : ) 
转换XLD轮廓进入Z=0的世界坐标平面,输出形式为xld_cont(-array) → object 
18.get_contour_xld(Contour : : : Row, Col) 
返回轮廓点的行列坐标。 
19.tuple_mean( : : Tuple : Mean) 
返回数组的平均值 
20.map_image(Image, Map : ImageMapped : : ) 
对图像进行校正,输出为校正后的图像。

附:摄像机校正和利用校正后的结果进行测量以及图像校正的程序段:

   1: * Attention:
   2: * This program reads the interior camera parameters from the file
   3: * ‘camera_parameters.dat‘, which, e.g., could be generated by the program
   4: * ‘camera_calibration_interior.hdev‘
   5: *
   6: ImgPath := ‘3d_machine_vision/calib/‘
   7: dev_close_window ()
   8: dev_open_window (0, 0, 652, 494, ‘black‘, WindowHandle)
   9: dev_update_off ()
  10: dev_set_draw (‘margin‘)
  11: dev_set_line_width (1)
  12: set_display_font (WindowHandle, 14, ‘courier‘, ‘true‘, ‘false‘)
  13: * Read the interior camera parameters from file
  14: read_cam_par (‘camera_parameters.dat‘, CamParam)
  15: *
  16: * Determine the exterior camera parameters and world coodinates from image points
  17: *
  18: * The exterior camera parameters can be determined from an image, where the
  19: * calibration plate is positioned directly on the measurement plane
  20: read_image (Image, ImgPath+‘calib_11‘)
  21: dev_display (Image)
  22: * parameter settings for find_caltab and find_marks_and_pose
  23: SizeGauss := 3
  24: MarkThresh := 200
  25: MinDiamMarks := 10
  26: StartThresh := 128
  27: DeltaThresh := 10
  28: MinThresh := 18
  29: Alpha := 0.9
  30: MinContLength := 15
  31: MaxDiamMarks := 100
  32: CaltabName := ‘caltab_30mm.descr‘
  33: find_caltab (Image, Caltab, CaltabName, SizeGauss, MarkThresh, MinDiamMarks)
  34: dev_set_color (‘green‘)
  35: dev_display (Caltab)
  36: * Here, the final camera parameters are already known and can be used instead of the starting values
  37: * used in the program ‘camera_calibration_interior.hdev‘
  38: find_marks_and_pose (Image, Caltab, CaltabName, CamParam, StartThresh, DeltaThresh, MinThresh, Alpha, MinContLength, MaxDiamMarks, RCoord, CCoord, PoseForCalibrationPlate)
  39: dev_set_color (‘red‘)
  40: disp_caltab (WindowHandle, CaltabName, CamParam, PoseForCalibrationPlate, 1)
  41: dev_set_line_width (3)
  42: disp_circle (WindowHandle, RCoord, CCoord, gen_tuple_const(|RCoord|,1.5))
  43: * caltab_points (CaltabName, X, Y, Z)
  44: * camera_calibration (X, Y, Z, RCoord, CCoord, CamParam, InitialPoseForCalibrationPlate, ‘pose‘, CamParamUnchanged, FinalPoseFromCalibrationPlate, Errors)
  45: * To take the thickness of the calibration plate into account, the z-value
  46: * of the origin given by the camera pose has to be translated by the
  47: * thickness of the calibration plate.
  48: * Deactivate the following line if you do not want to add the correction.
  49: set_origin_pose (PoseForCalibrationPlate, 0, 0, 0.00075, PoseForCalibrationPlate)
  50: disp_continue_message (WindowHandle, ‘black‘, ‘true‘)
  51: stop ()
  52: * Alternatively, the exterior camera parameters can  be determined from
  53: * at least three point correspondances between the WCS and the pixel coordinate system
  54: read_image (Image, ImgPath+‘caliper_01‘)
  55: dev_display (Image)
  56: * Set the world coordinates of three points on the rule
  57: X := [0,50,100,80]
  58: Y := [5,0,5,0]
  59: Z := [0,0,0,0]
  60: * Set the respective image plane coordinates of the three points
  61: RCoord := [414,227,85,128]
  62: CCoord := [119,318,550,448]
  63: *
  64: disp_cross (WindowHandle, RCoord, CCoord, 6, 0)
  65: * create_pose (-50, 25, 400, 0, 0, -30, ‘Rp+T‘, ‘gba‘, ‘point‘, InitialPose)
  66: vector_to_pose (X, Y, Z, RCoord, CCoord, CamParam, ‘iterative‘, ‘error‘, FinalPose, Errors)
  67: * camera_calibration (X, Y, Z, RCoord, CCoord, CamParam, InitialPose, ‘pose‘, CamParamUnchanged, FinalPose, Errors)
  68: write_pose (FinalPose, ‘pose_from_three_points.dat‘)
  69: * Now, transform a point measured interactively into the WCS
  70: dev_update_window (‘on‘)
  71: dev_display (Image)
  72: while (1)
  73:     disp_message (WindowHandle, ‘Measure one point: left mouse button‘, ‘window‘, 12, 12, ‘red‘, ‘false‘)
  74:     disp_message (WindowHandle, ‘Exit measure mode: right mouse button‘, ‘window‘, 36, 12, ‘red‘, ‘false‘)
  75:     get_mbutton (WindowHandle, Row, Column, Button)
  76:     if (Button = 4)
  77:         break
  78:     endif
  79:     dev_display (Image)
  80:     dev_set_color (‘green‘)
  81:     disp_cross (WindowHandle, Row, Column, 6, 0)
  82:     image_points_to_world_plane (CamParam, FinalPose, Row, Column, 1, X1, Y1)
  83:     disp_message (WindowHandle, ‘X = ‘+X1, ‘window‘, 320, 400, ‘red‘, ‘false‘)
  84:     disp_message (WindowHandle, ‘Y = ‘+Y1, ‘window‘, 340, 400, ‘red‘, ‘false‘)
  85: endwhile
  86: * Apply the measure tool and transform the resulting point coordinates
  87: * into the WCS
  88: dev_set_color (‘red‘)
  89: dev_display (Image)
  90: * Set the world coordinates of four points defining a ROI for the measure tool
  91: ROI_X_WCS := [-2,-2,112,112]
  92: ROI_Y_WCS := [0,0.5,0.5,0]
  93: ROI_Z_WCS := [0,0,0,0]
  94: * Determine the transformation matrix from the WCS into the CCS
  95: pose_to_hom_mat3d (FinalPose, CCS_HomMat_WCS)
  96: * Transform the point coordintes into the image coordinate system
  97: affine_trans_point_3d (CCS_HomMat_WCS, ROI_X_WCS, ROI_Y_WCS, ROI_Z_WCS, CCS_RectangleX, CCS_RectangleY, CCS_RectangleZ)
  98: project_3d_point (CCS_RectangleX, CCS_RectangleY, CCS_RectangleZ, CamParam, RectangleRow, RectangleCol)
  99: gen_region_polygon_filled (ROI, RectangleRow, RectangleCol)
 100: smallest_rectangle2 (ROI, RowCenterROI, ColCenterROI, PhiROI, Length1ROI, Length2ROI)
 101: * Create a measure
 102: gen_measure_rectangle2 (RowCenterROI, ColCenterROI, PhiROI, Length1ROI, Length2ROI, 652, 494, ‘bilinear‘, MeasureHandle)
 103: measure_pairs (Image, MeasureHandle, 0.4, 5, ‘all_strongest‘, ‘all‘, RowEdgeFirst, ColumnEdgeFirst, AmplitudeFirst, RowEdgeSecond, ColumnEdgeSecond, AmplitudeSecond, IntraDistance, InterDistance)
 104: close_measure (MeasureHandle)
 105: dev_display (Image)
 106: disp_message (WindowHandle, ‘Measuring the position of the pitch lines‘, ‘window‘, 450, 25, ‘red‘, ‘false‘)
 107: dev_set_color (‘green‘)
 108: RowPitchLine := (RowEdgeFirst+RowEdgeSecond)/2.0
 109: ColPitchLine := (ColumnEdgeFirst+ColumnEdgeSecond)/2.0
 110: disp_cross (WindowHandle, RowPitchLine, ColPitchLine, 6, 0)
 111: image_points_to_world_plane (CamParam, FinalPose, RowPitchLine, ColPitchLine, 1, X1, Y1)
 112: for i := 1 to |X1| by 1
 113:     set_tposition (WindowHandle, RowEdgeFirst[i-1]+5, ColumnEdgeFirst[i-1]-20)
 114:     if (i=|X1|)
 115:         set_tposition (WindowHandle, RowEdgeFirst[i-1], ColumnEdgeFirst[i-2])
 116:     endif
 117:     write_string (WindowHandle, X1[i-1]$‘.3f‘+‘mm‘)
 118: endfor
 119: disp_continue_message (WindowHandle, ‘black‘, ‘true‘)
 120: stop ()
 121: dev_display (Image)
 122: * Apply a line extraction and transform the resulting xld contours
 123: * into the WCS
 124: * Set the world coordinates of four points defining a ROI
 125: ROI_X_WCS := [11,11,13,13]
 126: ROI_Y_WCS := [4,6,6,4]
 127: ROI_Z_WCS := [0,0,0,0]
 128: * Transform the point coordinates into the image coordinate system
 129: affine_trans_point_3d (CCS_HomMat_WCS, ROI_X_WCS, ROI_Y_WCS, ROI_Z_WCS, CCS_RectangleX, CCS_RectangleY, CCS_RectangleZ)
 130: project_3d_point (CCS_RectangleX, CCS_RectangleY, CCS_RectangleZ, CamParam, RectangleRow, RectangleCol)
 131: * Visualize the square in the original image
 132: disp_polygon (WindowHandle, [RectangleRow,RectangleRow[0]], [RectangleCol,RectangleCol[0]])
 133: dev_display (Image)
 134: * create the ROI
 135: gen_region_polygon_filled (ROI, RectangleRow, RectangleCol)
 136: reduce_domain (Image, ROI, ImageReduced)
 137: * Extract the lines
 138: lines_gauss (ImageReduced, Lines, 1, 3, 8, ‘dark‘, ‘true‘, ‘bar-shaped‘, ‘true‘)
 139: * Adapt the pose of the measurement plane to the tilted plane of the vernier
 140: RelPose := [0,3.2,0,-14,0,0,0]
 141: pose_to_hom_mat3d (FinalPose, HomMat3D)
 142: pose_to_hom_mat3d (RelPose, HomMat3DRel)
 143: hom_mat3d_compose (HomMat3D, HomMat3DRel, HomMat3DAdapted)
 144: * Alternatively, the adaption can be done using the operators
 145: * hom_mat3d_translate_local and hom_mat3d_rotate_local
 146: * as shown in the following to lines
 147: hom_mat3d_translate_local (HomMat3D, 0, 3.2, 0, HomMat3DTranslate)
 148: hom_mat3d_rotate_local (HomMat3DTranslate, rad(-14), ‘x‘, HomMat3DAdapted)
 149: hom_mat3d_to_pose (HomMat3DAdapted, PoseAdapted)
 150: * Transform the xld contour to the WCS using the adapted pose
 151: contour_to_world_plane_xld (Lines, ContoursTrans, CamParam, PoseAdapted, 1)
 152: get_contour_xld (ContoursTrans, YOfContour, XOfContour)
 153: tuple_mean (XOfContour, MeterReading)
 154: dev_display (Lines)
 155: disp_message (WindowHandle, ‘Meter reading: ‘+MeterReading$‘.3f‘+‘mm‘, ‘window‘, 400, 180, ‘green‘, ‘false‘)
 156: disp_continue_message (WindowHandle, ‘black‘, ‘true‘)
 157: stop ()
 158: dev_close_inspect_ctrl (YOfContour)
 159: dev_close_inspect_ctrl (XOfContour)
 160: * Now, transform the whole image
 161: WidthMappedImage := 652
 162: HeightMappedImage := 494
 163: dev_display (Image)
 164: * First, determine the scale for the mapping
 165: * (here, the scale is determined such that in the
 166: *   surroundings of the points P0 and P1,  the image scale of the
 167: *   mapped image is similar to the image scale of the original image)
 168: distance_pp (X[0], Y[0], X[1], Y[1], DistP0P1WCS)
 169: distance_pp (RCoord[0], CCoord[0], RCoord[1], CCoord[1], DistP0P1PCS)
 170: Scale := DistP0P1WCS/DistP0P1PCS
 171: * Then, determine the parameter settings for set_origin_pose such
 172: * that the point given via get_mbutton will be in the center of the
 173: * mapped image
 174: dev_display (Image)
 175: disp_message (WindowHandle, ‘Define the center of the mapped image‘, ‘window‘, 12, 12, ‘red‘, ‘false‘)
 176: get_mbutton (WindowHandle, CenterRow, CenterColumn, Button1)
 177: image_points_to_world_plane (CamParam, FinalPose, CenterRow, CenterColumn, 1, CenterX, CenterY)
 178: set_origin_pose (FinalPose, CenterX-Scale*WidthMappedImage/2.0, CenterY-Scale*HeightMappedImage/2.0, 0, PoseNewOrigin)
 179: gen_image_to_world_plane_map (Map, CamParam, PoseNewOrigin, 652, 494, WidthMappedImage, HeightMappedImage, Scale, ‘bilinear‘)
 180: map_image (Image, Map, ImageMapped)
 181: dev_clear_window ()
 182: dev_display (ImageMapped)
 183: * In case, only one image has to be mapped, the operator
 184: * image_to_world_plane can be used instead of the operators
 185: * gen_image_to_world_plane_map together with map_image.
 186: image_to_world_plane (Image, ImageMapped, CamParam, PoseNewOrigin, WidthMappedImage, HeightMappedImage, Scale, ‘bilinear‘)
 

halcon学习笔记——摄像机标定

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原文地址:http://www.cnblogs.com/herons/p/4398527.html

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