摘要
根据木材表面缺陷图像的特点,结合主动轮廓线模型的优点,应用CV模型对木材表面缺陷图像进行分割,并利用数学形态学对分割图像进行后处理。经实验验证,该方法能较完整的提取木材表面缺陷图像。
It segments the image of the defect on the timber surface by applying the CV Model,according to the characteristics of the images of the defect on the timber surface and combining with the advantages of Geometric Active Contour Model.And then implement a post-processing to the images divided by taking advantage of the mathematical morphology.After the verification of the experiment,the method can extract the images of the defect on the timber surface relatively complete.
出处
《机电产品开发与创新》
2011年第5期75-76,100,共3页
Development & Innovation of Machinery & Electrical Products
基金
黑龙江省自然基金项目(2008F16)
黑龙江省博士后基金项目(LBH-Q10160)
关键词
图像分割
木材表面缺陷
CV模型
形态学
image segmentation
timber surface defect
CV Model
morphology