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数学形态学在旋切单板缺陷图像分割中的研究
引用本文:程伟,梁萍. 数学形态学在旋切单板缺陷图像分割中的研究[J]. 林业机械与木工设备, 2011, 39(2)
作者姓名:程伟  梁萍
作者单位:淮阴工学院,江苏,淮安,223003
基金项目:江苏省教育厅自然科学基金资助项目(2005KJD520033)
摘    要:胶合板的质量等级在很大程度上取决于旋切单板的表面质量,为了提高旋切单板缺陷检测的质量和效率,提出了一种基于数学形态学的缺陷图像分割方法,通过形态学算子的作用进行缺陷的分割。试验结果表明该算法能取得很好的分割效果。

关 键 词:数学形态学  旋切单板  缺陷检测  图像分割  

Research of Rotary-Veneer Surface Defect Image Segmentation Method Based on Mathematical Morphology
CHENG Wei,LIANG Ping. Research of Rotary-Veneer Surface Defect Image Segmentation Method Based on Mathematical Morphology[J]. Forestry Machinery & Woodworking Equipment, 2011, 39(2)
Authors:CHENG Wei  LIANG Ping
Affiliation:CHENG Wei,LIANG Ping(Huaiyin Institute of Technology,Huai'an Jiangsu 223003,China)
Abstract:Plywood grade is largely determined by the surface quality of rotary-veneer.A defect image segmentation method based on mathematic morphology is presented to improve the quality and efficiency of rotary veneer defect detection.A mathematic morphology operator is used to realize the segmentation of defects.The experiment results show that this algorithm can obtain a good segmentation result.
Keywords:mathematical morphology  rotary veneer  defect detection  image segmentation  
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