基于SVM的图像分割
基于SVM的图像分割：链接：https://pan.baidu.com/s/1xdnckcLcV0jhfsuEbL2Gfg 提取码：qixt
参考链接：https://pan.baidu.com/s/1XQmrm-26SCSnPOZPHplqAQ
dev_update_window ('off')
dev_set_draw ('margin')
dev_update_var ('off')
dev_update_pc ('off')
read_image (Image, './plastic_mesh/plastic_mesh_01.png')
get_image_size (Image, Width, Height)
gen_rectangle1 (Rectangle, 10, 10, Height / 2 - 11, Width / 2 - 11)
* Create the SVM classifier with the novelty detection mode.
create_class_svm (5, 'rbf', 0.01, 0.0005, 1, 'novelty-detection', 'normalization', 5, SVMHandle)
for J := 1 to 5 by 1
read_image (Image, './plastic_mesh/plastic_mesh_0' + J +'.png')
zoom_image_factor (Image, ImageZoomed, 0.5, 0.5, 'constant')
gen_texture_image (ImageZoomed, ImageTexture)
* 增加训练样本
add_samples_image_class_svm (ImageTexture, Rectangle, SVMHandle)
endfor
dev_display (ImageZoomed)
* 训练
train_class_svm (SVMHandle, 0.001, 'default')
* 降维
reduce_class_svm (SVMHandle, 'bottom_up', 2, 0.001, SVMHandleReduced)
* Now detect errors in the plastic meshes.
for J := 1 to 14 by 1
read_image (Image, './plastic_mesh/plastic_mesh_0' + J +'.png')
zoom_image_factor (Image, ImageZoomed, 0.5, 0.5, 'constant')
gen_texture_image (ImageZoomed, ImageTexture)
reduce_domain (ImageTexture, Rectangle, ImageTextureReduced)
* SVM分类器
classify_image_class_svm (ImageTextureReduced, Errors, SVMHandleReduced)
* 形态学处理
opening_circle (Errors, ErrorsOpening, 3.5)
closing_circle (ErrorsOpening, ErrorsClosing, 10.5)
connection (ErrorsClosing, ErrorsConnected)
select_shape (ErrorsConnected, FinalErrors, 'area', 'and', 300, 1000000)
count_obj (FinalErrors, NumErrors)
dev_set_color ('red')
dev_set_line_width (3)
dev_display (FinalErrors)
stop ()
endfor
clear_class_svm (SVMHandle)
clear_class_svm (SVMHandleReduced)
感谢分享！！~~~
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