网站开发运营公司,网建网站,网页制作与网站建设实战大全 光盘,网站商城维护怎么做前言
//颜色抽取#xff0c;单产品多区域
https://blog.csdn.net/m0_51559565/article/details/135216905由于在颜色抽取上面#xff0c;我已经发了一篇博客了#xff0c;是单产品多区域的情况。所以对于细分原理上就不过多的描述了。 本文主要是针对多产品多颜色的情况进行…前言
//颜色抽取单产品多区域
https://blog.csdn.net/m0_51559565/article/details/135216905由于在颜色抽取上面我已经发了一篇博客了是单产品多区域的情况。所以对于细分原理上就不过多的描述了。 本文主要是针对多产品多颜色的情况进行说明。实际生产线中往往会出现n种产品同时存在的情况他们可能颜色不同或者颜色及其相近。其中本文章就针对5种相近颜色的不同产品进行说明。
1.halcon程序
*创建MLP分类器区分6种颜色区域。5种所需要的颜色1种背景create_class_mlp (3, 7, 6, softmax, normalization, 3, 42, MLPHandle)
dev_get_window (WindowHandle)list_files (D:/2024Work/work/4.11颜色分选/砖石, [files,follow_links], ImageFiles)
tuple_regexp_select (ImageFiles, [\\.(tif|tiff|gif|bmp|jpg|jpeg|jp2|png|pcx|pgm|ppm|pbm|xwd|ima|hobj)$,ignore_case], ImageFiles)
for Index : 0 to |ImageFiles| - 1 by 1read_image (Image, ImageFiles[Index])*创建6个分类的空区域gen_empty_region (EmptyObject1)gen_empty_region (EmptyObject2)gen_empty_region (EmptyObject3)gen_empty_region (EmptyObject4)gen_empty_region (EmptyObject5)gen_empty_region (back)*创建存放区域的集合数组gen_empty_obj (Union)*绘制我们需要的颜色区域dev_display (Image)draw_rectangle1 (WindowHandle, Row1, Column1, Row2, Column2)gen_rectangle1 (Rectangle, Row1, Column1, Row2, Column2)gen_contour_region_xld (Rectangle, Contours, border)dev_display (Image)dev_display (Contours)reduce_domain (Image, Rectangle, ROI)*绘制背景dev_display (Image)draw_rectangle1 (WindowHandle, Row11, Column11, Row21, Column21)gen_rectangle1 (Rectangle1, Row11, Column11, Row21, Column21)gen_contour_region_xld (Rectangle1, Contours1, border)dev_display (Image)dev_display (Contours1)reduce_domain (Image, Rectangle1, back)*第一种颜色if (Index0)concat_obj (Union, ROI, Union)concat_obj (Union, EmptyObject2, Union)concat_obj (Union, EmptyObject3, Union)concat_obj (Union, EmptyObject4, Union)concat_obj (Union, EmptyObject5, Union)concat_obj (Union, back, Union)endif*第二种颜色if (Index1)concat_obj (Union, EmptyObject1, Union)concat_obj (Union, ROI, Union)concat_obj (Union, EmptyObject3, Union)concat_obj (Union, EmptyObject4, Union)concat_obj (Union, EmptyObject5, Union)concat_obj (Union, back, Union)endif*第三种颜色if (Index2)concat_obj (Union, EmptyObject1, Union)concat_obj (Union, EmptyObject2, Union)concat_obj (Union, ROI, Union)concat_obj (Union, EmptyObject4, Union)concat_obj (Union, EmptyObject5, Union)concat_obj (Union, back, Union)endif*第四种颜色if (Index3)concat_obj (Union, EmptyObject1, Union)concat_obj (Union, EmptyObject2, Union)concat_obj (Union, EmptyObject3, Union)concat_obj (Union, ROI, Union)concat_obj (Union, EmptyObject5, Union)concat_obj (Union, back, Union)endif*第五种颜色if (Index4)concat_obj (Union, EmptyObject1, Union)concat_obj (Union, EmptyObject2, Union)concat_obj (Union, EmptyObject3, Union)concat_obj (Union, EmptyObject4, Union)concat_obj (Union, ROI, Union)concat_obj (Union, back, Union)endif*将全部颜色添加到mlp中add_samples_image_class_mlp (Image, Union, MLPHandle)
endfor
*训练mlp
train_class_mlp (MLPHandle, 400, 0.5, 0.01, Error, ErrorLog)
stop ()
******************************************验证**********************
*将句柄写入文件中
write_class_mlp (MLPHandle, D:/2024Work/work/4.11颜色分选/砖石/mlp.mlp)
*从文件中读取句柄
read_class_mlp (D:/2024Work/work/4.11颜色分选/砖石/mlp.mlp, MLPHandle1)
*初始化结果参数
ResultColor:0
list_files (D:/2024Work/work/4.11颜色分选/砖石, [files,follow_links], ImageFiles)
tuple_regexp_select (ImageFiles, [\\.(tif|tiff|gif|bmp|jpg|jpeg|jp2|png|pcx|pgm|ppm|pbm|xwd|ima|hobj)$,ignore_case], ImageFiles)
for Index : 0 to |ImageFiles| - 1 by 1read_image (Image, ImageFiles[Index])*对图像应该分类器classify_image_class_mlp (Image, ClassRegions, MLPHandle1, 0.5)*通过循环和面积筛选判断当前的颜色for i : 1 to 5 by 1select_obj (ClassRegions, Result, i)union1 (Result, RegionUnion)area_center (RegionUnion, Area1, Row3, Column3)if (Area1100000)ResultColor:iendifendforstop ()
endfor
2.halcon程序解析
2.1创建多颜色mlp模型
*创建MLP分类器区分6种颜色区域。5种所需要的颜色1种背景
create_class_mlp (3, 7, 6, softmax, normalization, 3, 42, MLPHandle)在本文中需要区分的产品是5个蓝色的石头颜色相近所以在创建mlp模型时需要使用5个区分项和背景。总共6个区分项
2.2创建存放数组和绘制ROI gen_empty_region (EmptyObject1)gen_empty_region (EmptyObject2)gen_empty_region (EmptyObject3)gen_empty_region (EmptyObject4)gen_empty_region (EmptyObject5)gen_empty_region (back)*创建存放区域的集合数组gen_empty_obj (Union)*绘制我们需要的颜色区域dev_display (Image)draw_rectangle1 (WindowHandle, Row1, Column1, Row2, Column2)gen_rectangle1 (Rectangle, Row1, Column1, Row2, Column2)reduce_domain (Image, Rectangle, ROI)*绘制背景dev_display (Image)draw_rectangle1 (WindowHandle, Row11, Column11, Row21, Column21)gen_rectangle1 (Rectangle1, Row11, Column11, Row21, Column21)reduce_domain (Image, Rectangle1, back)在绘制我们需要的颜色的时候只需要绘制的区域包含所需颜色即可但是同时应该尽量避免出现其他颜色。 在绘制背景时应该将大部分背景的颜色的区域尽量的包括其中这样子可以有效的区分背景。
2.3训练模型
add_samples_image_class_mlp (Image, Union, MLPHandle)
*训练mlp
train_class_mlp (MLPHandle, 400, 0.5, 0.01, Error, ErrorLog)每次绘制完图像后需要对区域进行添加将所需要训练的内容添加到模型中然后开启模型训练
2.4写入和读取文件
*将句柄写入文件
write_class_mlp (MLPHandle, D:/2024Work/work/4.11颜色分选/砖石/mlp.mlp)
*从文件中读取句柄
read_class_mlp (D:/2024Work/work/4.11颜色分选/砖石/mlp.mlp, MLPHandle1)2.5验证
*初始化结果参数
ResultColor:0
list_files (D:/2024Work/work/4.11颜色分选/砖石, [files,follow_links], ImageFiles)
tuple_regexp_select (ImageFiles, [\\.(tif|tiff|gif|bmp|jpg|jpeg|jp2|png|pcx|pgm|ppm|pbm|xwd|ima|hobj)$,ignore_case], ImageFiles)
for Index : 0 to |ImageFiles| - 1 by 1read_image (Image, ImageFiles[Index])*对图像应该分类器classify_image_class_mlp (Image, ClassRegions, MLPHandle, 0.5)*通过循环和面积筛选判断当前的颜色for i : 1 to 5 by 1select_obj (ClassRegions, Result, i)union1 (Result, RegionUnion)area_center (RegionUnion, Area1, Row3, Column3)if (Area1100000)ResultColor:iendifendforstop ()
endfor将图像输入到图像分类器中即可得到所需要的颜色的面积根据颜色面积进行筛选即可
总结
有不清楚的地方可以移步前言的链接查看。mlp常用的场景一般都是单颜色区分相当多时候是在预处理中进行。但是作为项目上常见于各种颜色有色差的分类。比如产品有色差的情况也是可以用颜色抽取实现。
