Halcon学习：坏点检测

此代码作用于摄像头模组实拍图片检测坏点。用到的算子是动态阈值分割，实现逻辑是，实拍图转灰度图，然后进行动态阈值分割获得坏点。最后在原图上框出坏点。

*此文件夹包含待测实拍图
list_files ('E:/1(1)/1(1)', 'files', Files)
l:=|Files|
*设置画框规格
dev_set_draw ('margin')
dev_set_line_width (1)
*循环每张图进行local_threshold获取黑点即坏点
for i := 1 to l-1 by 1
    read_image (Image, Files[i])
    rgb1_to_gray (Image, GrayImage)
            dev_display (GrayImage)
        dev_display (Rectangle)
    local_threshold (GrayImage, Region, 'adapted_std_deviation', 'dark', [], [])
    *获取坏点并计算数量
    connection (Region, ConnectedRegions)
    count_obj (ConnectedRegions, Number)
    if (Number!=0)
        *循环画框
    for j := 1 to Number by 1
        select_obj (ConnectedRegions, ObjectSelected, j)
        area_center (ObjectSelected, Area, Row, Column)
        gen_rectangle2 (Rectangle, Row, Column, 0, 20, 20)

    endfor
    endif

endfor

效果图如下：