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)