检测-网孔是否正常的检测

程序员文章站 2022-06-01 15:53:54

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该示例，检查的是网格网孔是否存在破损。

示例代码如下：

dev_update_window ('off')
* 读图像
read_image (Image, 'plastic_mesh/plastic_mesh_01')
dev_close_window ()
* 获取图像宽高
get_image_size (Image, Width, Height)
dev_open_window_fit_image (Image, 0, 0, Width, Height, WindowHandle)
set_display_font (WindowHandle, 18, 'mono', 'true', 'false')
dev_set_draw ('margin')
dev_set_line_width (3)
* Each of the images is read and smoothed. Subsequently
* dyn_threshold is performed and connected regions are
* looked for. The parameter 'area' of the operator select_shape
* makes it possible to find regions that differ in the area
* size. Found errors are finally counted and displayed.
* 每一张图像都先被读然后做平滑处理，通常dyn_threshold被执行，
* 
for J := 1 to 14 by 1
    * 读图像
    read_image (Image, 'plastic_mesh/plastic_mesh_' + J$'02')
    * 平滑图像
    mean_image (Image, ImageMean, 49, 49)
    * 二值化处理
    * dark :选择出来的是小于等于ImageMean-5
    dyn_threshold (Image, ImageMean, RegionDynThresh, 5, 'dark')
    * 分开，获得单个联通域，
    connection (RegionDynThresh, ConnectedRegions)
    * 按照面积特征，特征直方图选择区域
    select_shape (ConnectedRegions, ErrorRegions, 'area', 'and', 500, 99999)
    * 计算选择出来的区域个数
    count_obj (ErrorRegions, NumErrors)
    dev_display (Image)
    dev_set_color ('red')
    dev_display (ErrorRegions)
    * If the number of errors exceeds zero, the message 'Mesh not
    * OK' is displayed. Otherwise the web is undamaged
    * and 'Mesh OK' is displayed.
    * 如果选择的区域大于0，则说明存在缺陷区域
    * 选择出来的区域，面积都是大于正常区域的
    if (NumErrors > 0)
        disp_message (WindowHandle, 'Mesh not OK', 'window', 24, 12, 'black', 'true')
    else
        disp_message (WindowHandle, 'Mesh OK', 'window', 24, 12, 'black', 'true')
    endif
    * If the sequence number of the image to be inspected is
    * lower than 14, the request to press 'Run' to continue appears.
    * If the last image is read, pressing 'Run' will clear the SVM.
    if (J < 14)
        disp_continue_message (WindowHandle, 'black', 'true')
        stop ()
    endif
endfor

重点说明：
1. 在进行二值化之前，先使用算子mean_image进行图像平滑处理，去除噪声，让后续的二值化处理更简单。
2. 二值化处理使用的是dyn_threshold算子，该算子通过指定offset，分段获得需要的区域。
3. 通常mean_image算子和dyn_threshold会联合使用。

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