基于 SVM 实现的 线扫蓝桶图像 缺陷分类识别【Halcon】_halcon svm

1.训练SVM分类器程序流程思路

dev_update_off ()
dev_close_window ()
dev_open_window (0, 0, 256, 1390, 'black', WindowHandle)
 
 
*创建支持向量机分类器，共3个类别
*（'划痕0','脏污1','飞边1'）
    create_class_svm (10, 'rbf', 0.02, 0.02, 3, 'one-versus-one', 'normalization', 10, SVMHandle)
 
*确定图像和分类名称一一对应
    FileNames:=['划痕','脏污','飞边']
    Classes:=[0,1,2]
    Colors:=['red','black','blue']
    
for Classnumber := 0 to 2 by 1
    list_files (FileNames[Classnumber], 'files', Files)
    Selection := regexp_select(Files,'.*')
    for Index := 0 to |Selection|-1 by 1
    *读取图像并筛选出各类特征
    read_image (Image, Selection[Index])
    rgb1_to_gray (Image, GrayImage)
    sobel_amp (GrayImage, EdgeAmplitude, 'sum_sqrt',3)
    threshold (EdgeAmplitude, Region, 6, 60)
    cooc_feature_image (Region, GrayImage, 6, 0, Energy, C