HALCON示例程序classify_image_class_svm.hdev使用SVM分类器对多通道图像进行分类

HALCON示例程序classify_image_class_svm.hdev使用SVM分类器对多通道图像进行分类

示例程序源码(加注释)

由于关于SVM分类器的使用之前的贴子介绍过,所以关于SVM的函数,直接点击函数可跳转到之前的介绍贴子。

  • 显示函数解释
    dev_update_off ()
    dev_close_window ()
    dev_open_window (0, 0, 735, 485, ‘black’, WindowHandle)
    set_display_font (WindowHandle, 14, ‘mono’, ‘true’, ‘false’)
    dev_set_draw (‘margin’)
    dev_set_colored (6)
    dev_set_line_width (3)
    read_image (Image, ‘patras’)
    dev_display (Image)
    Color := [‘indian red’,‘cornflower blue’,‘white’,‘black’,‘yellow’]
  • 为将要分类的4个类别创建区域
    gen_rectangle1 (Sea, 10, 10, 120, 270)
    gen_rectangle2 (Deck, [170,400], [350,375], [-0.56,-0.75], [64,104], [26,11])
    union1 (Deck, Deck)
    gen_rectangle1 (Walls, 355, 623, 420, 702)
    gen_rectangle2 (Chimney, 286, 623, -0.56, 64, 33)
    concat_obj (Sea, Deck, Classes)
    concat_obj (Classes, Walls, Classes)
    concat_obj (Classes, Chimney, Classes)
    dev_set_color (Color[0])
    dev_display (Deck)
    dev_set_color (Color[1])
    dev_display (Sea)
    dev_set_color (Color[2])
    dev_display (Walls)
    dev_set_color (Color[3])
    dev_display (Chimney)
    Message := ‘Training regions for the color classifier’
    disp_message (WindowHandle, Message, ‘window’, 12, 12, ‘black’, ‘true’)
    disp_continue_message (WindowHandle, ‘black’, ‘true’)
    stop ()
  • 创建分类器并且为分类器添加训练样本
    create_class_svm (3, ‘rbf’, 0.1, 0.0005, 4, ‘one-versus-all’, ‘normalization’, 3, SVMHandle)
    add_samples_image_class_svm (Image, Classes, SVMHandle)
    dev_display (Image)
    Message := ‘Training …’
    disp_message (WindowHandle, Message, ‘window’, 12, 12, ‘black’, ‘true’)
  • 训练分类器
    train_class_svm (SVMHandle, 0.001, ‘default’)
    Message := Message + ’ ready.’
    Message[1] := ‘Segment image using the classifier …’
    disp_message (WindowHandle, Message, ‘window’, 12, 12, ‘black’, ‘true’)
  • 通过分类器分割图像
    clear_samples_class_svm (SVMHandle)
    classify_image_class_svm (Image, ClassRegions, SVMHandle)
    region_to_mean (ClassRegions, Image, ImageClass)
    dev_display (ImageClass)
    Message[1] := Message[1] + ’ ready.’
    disp_message (WindowHandle, Message, ‘window’, 12, 12, ‘black’, ‘true’)
    clear_class_svm (SVMHandle)

处理思路

这个例子介绍了create_class_svm 、add_sample_class_svm、train_class_svm、classify_class_svm 的使用方法,使用SVM分类器对元素的凸度与不变的结构向量进行分类。完成了对卤素灯泡的完整性的检测。

后记

大家有什么问题可以向我提问哈,我看到了第一时间回复,希望在学习的路上多多结交良师益友。

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