halcon第十五Halcon神经网络（MLP）金属零件分类

一、检测目的
对不同的金属零件进行MLP分类
二、代码示例

dev_update_off ()
dev_close_window ()
dev_open_window (0, 0, 640, 480, 'black', WindowHandle)
set_display_font (WindowHandle, 16, 'mono', 'true', 'false')
dev_set_colored (6)
dev_set_draw ('margin')
dev_set_line_width (3)

create_class_mlp (6, 5, 3, 'softmax', 'normalization', 3, 42, MLPHandle)

*nuts：螺母、washers：垫圈、retainers：夹持器
FileNames := ['nuts_01','nuts_02','nuts_03','washers_01','washers_02','washers_03','retainers_01','retainers_02','retainers_03']
Classes := [0,0,0,1,1,1,2,2,2]

for J := 0 to |FileNames| - 1 by 1
    read_image (Image, 'rings/' + FileNames[J])
    dev_display (Image)
    dev_set_colored (6)
    
    binary_threshold (Image, Region, 'max_separability', 'dark', UsedThreshold)
    connection (Region, ConnectedRegions)
    fill_up (ConnectedRegions, Regions)
    
    count_obj (Regions, Number)
    for Index := 1 to Number by 1
        select_obj (Regions, ObjectSelected, Index)
        
        select_obj (ObjectSelected, SingleRegion, 1)
        *区域的圆度（与圆相似）的形状因子
        circularity (SingleRegion, Circularity)
        *轮廓形状因子
        roundness (SingleRegion, Distance, Sigma, Roundness, Sides)
        *区域的几何矩
        moments_region_central_invar (SingleRegion, PSI1, PSI2, PSI3, PSI4)
        Features := [Circularity,Roundness,PSI1,PSI2,PSI3,PSI4]
        
        add_sample_class_mlp (MLPHandle, Features,  Classes[J])
        
        disp_continue_message (WindowHandle, 'black', 'true')
    endfor
    
endfor

train_class_mlp (MLPHandle, 200, 1, 0.01, Error, ErrorLog)
*清除多层感知器的训练数据
clear_samples_class_mlp (MLPHandle)

dev_set_draw ('fill')

for J := 1 to 4 by 1
    read_image (Image, 'rings/mixed_' + J$'02d')
    dev_display (Image)
    dev_set_color ('black')
    dev_set_draw ('margin')
    disp_message (WindowHandle, 'Classifiy Image' + J, 'window', 10, 10, 'black', 'true')
    
    binary_threshold (Image, Region, 'max_separability', 'dark', UsedThreshold)
    connection (Region, ConnectedRegions)
    fill_up (ConnectedRegions, Regions)
    
    count_obj (Regions, Number1)
    Classes := []
    for Index1 := 1 to Number1 by 1
        select_obj (Regions, ObjectSelected1, Index1)
        
        select_obj (ObjectSelected1, SingleRegion, 1)
        circularity (SingleRegion, Circularity)
        roundness (SingleRegion, Distance, Sigma, Roundness, Sides)
        moments_region_central_invar (SingleRegion, PSI1, PSI2, PSI3, PSI4)
        Features := [Circularity,Roundness,PSI1,PSI2,PSI3,PSI4]
        classify_class_mlp (MLPHandle, Features, 1, Class, Confidence)
        Classes := [Classes,Class]
        
    endfor
        count_obj (Regions, Number2)
        Colors := ['yellow','magenta','green']
        for zf := 1 to Number2 by 1
            select_obj (Regions, Region, zf)
            dev_set_color (Colors[Classes[zf - 1]])
            dev_display (Region)
        endfor
            if (J < 4)
        disp_continue_message (WindowHandle, 'black', 'true')
        stop ()
    endif
endfor

stop ()
* 
* Clear the classifier from memory
clear_class_mlp (MLPHandle)