Halcon 通過xld檢測貼片

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 * This example program shows how to use HALCON's shape-based matching
* to find SMD capacitors that exhibit independent size changes in the row and
* column direction in images with a depth of 10 bits (i.e., in images of type uint2).
dev_update_off ()
* For visualization purposes, we specify the number of significant bits in the uint2
* images.  We do this because this information cannot be stored in the image
* files themselves.
set_system ('int2_bits', 10)
read_image (Image, 'smd/smd_capacitors_01')
get_image_size (Image, Width, Height)
dev_close_window ()
dev_open_window (0, 0, Width, Height, 'black', WindowHandle)
dev_set_color ('green')
dev_set_line_width (3)
set_display_font (WindowHandle, 16, 'mono', 'true', 'false')
* Create a synthetic model for the SMD capacitors.  This is just a rectangle
* with rounded corners.
gen_contour_polygon_rounded_xld (Contour, [50,100,100,50,50], [50,50,150,150,50], [6,6,6,6,6], 0.01)
*根據一個多邊形（polygon）（以元組形式給出）的圓形角點創建一個XLD輪廓(contour)
*(（輸出）結果輪廓,多邊形的行列坐標,多邊形的圓角半徑,采樣距離)
gen_image_const (Image, 'byte', 200, 150)
*創建一個固定灰度值的圖像(輸出圖像，像素類型，圖像寬，高)
paint_xld (Contour, Image, ImageModel, 128)
*把XLD目標畫在一個圖像中（要繪制到圖像去的XLD輪廓，圖像，結果圖像，xld輪廓期望的灰度值）
create_aniso_shape_model (ImageModel, 'auto', -rad(10), rad(20), 'auto', 0.9, 1.7, 'auto', 0.9, 1.1, 'auto', 'none', 'use_polarity', 'auto', 20, ModelID)
*
get_shape_model_contours (ModelContours, ModelID, 1)
*
Button := 0
ImgNo := 1
while (Button # 1)
    read_image (Image, 'smd/smd_capacitors_'+ImgNo$'02d')
    dev_display (Image)
    count_seconds (S1)
    find_aniso_shape_model (Image, ModelID, -rad(10), rad(20), 0.9, 1.7, 0.9, 1.1, 0.7, 0, 0.5, 'least_squares', 0, 0.8, Row, Column, Angle, ScaleR, ScaleC, Score)
    count_seconds (S2)
    Time := (S2-S1)*1000
    Num := |Score|
    * Display the number of found models and the recognition time.
    set_tposition (WindowHandle, 10, 10)
    write_string (WindowHandle, Num$'d'+' models found in '+Time$'5.2f'+' ms')
    MeanColumn := mean(Column)
*找出工件，並計算出工件與模板的關系
    for I := 0 to Num-1 by 1
        * Display the found model.
        hom_mat2d_identity (HomMat2D)
        *二維描述矩陣，就是一個三維單位矩陣。
        hom_mat2d_scale (HomMat2D, ScaleR[I], ScaleC[I], 0, 0, HomMat2D)
        *為一個同質二維變換矩陣添加一個縮放（輸入矩陣，縮放因子，固定點，結果矩陣）
        hom_mat2d_rotate (HomMat2D, Angle[I], 0, 0, HomMat2D)
        *為一個同質二維變換矩陣添加一個循環（輸入矩陣，旋轉角度，固定點，輸出矩陣）
        hom_mat2d_translate (HomMat2D, Row[I], Column[I], HomMat2D)
        *為一個同質二維變換矩陣添加一個轉換
        affine_trans_contour_xld (ModelContours, ContoursTrans, HomMat2D)
        *仿射轉換。
        dev_display (ContoursTrans)
        * Display the model's scale next to the found model.
        ScaleRowStr := 'ScaleRow='+ScaleR[I]$'5.3f'
        ScaleColStr := 'ScaleCol='+ScaleC[I]$'5.3f'
        get_string_extents (WindowHandle, ScaleRowStr, AscentStr, DescentStr, WidthStr, HeightStr)
        *獲取一個字符串的空間大小（窗口句柄，要考慮的變量，往上的最大高度，往下的最大延伸，文本寬，文本高）
        if (Column[I] <= MeanColumn)
            disp_message (WindowHandle, [ScaleRowStr,ScaleColStr], 'image', Row[I]-20, Column[I]-60-WidthStr, 'green', 'false')
        else
            disp_message (WindowHandle, [ScaleRowStr,ScaleColStr], 'image', Row[I]-20, Column[I]+60, 'green', 'false')
        endif
    endfor
    ImgNo := ImgNo+1
    if (ImgNo > 4)
        ImgNo := 1
    endif
    dev_error_var (Error, 1)
    dev_set_check ('~give_error')
    get_mposition (WindowHandle, R, C, Button)
    dev_error_var (Error, 0)
    dev_set_check ('give_error')
    if (Error#H_MSG_TRUE)
        Button := 0
    endif
endwhile
clear_shape_model (ModelID)
* Reset the number of significant bits of uint2 images to unknown.
set_system ('int2_bits', -1)