首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于形态学梯度算法的木材缺陷图像边缘检测
引用本文:李远祥,戚大伟.基于形态学梯度算法的木材缺陷图像边缘检测[J].林业机械与木工设备,2008,36(9).
作者姓名:李远祥  戚大伟
作者单位:东北林业大学,黑龙江,哈尔滨,150040
基金项目:哈尔滨市重点攻关总项目,黑龙江省博士后科研启动金项目
摘    要:根据形态学梯度算法的思想,选取平坦的菱形为结构元素,通过腐蚀、膨胀、开与闭运算的加权组合,构造出一种形态学优化算法,并将它应用于木材缺陷图像的边缘检测中,使提取的图像边缘更加准确、完整和连续.通过与经典边缘检测算法对比,该方法有更好的抗噪能力和边缘检测能力,实验结果也验证了该方法的可行性与有效性.

关 键 词:数学形态学  形态学梯度  边缘检测  木材无损检测

Edge Detection of Wood Defect Image Based on Mathematical Morphological Gradient Algorithm
LI Yuan-xiang,QI Da-wei.Edge Detection of Wood Defect Image Based on Mathematical Morphological Gradient Algorithm[J].Forestry Machinery & Woodworking Equipment,2008,36(9).
Authors:LI Yuan-xiang  QI Da-wei
Abstract:Based on the theory of morphological gradient algorithm,with a flat diamond chosen as structuring element,through weighted combination of erosion,dilation,opening and closing operations,a morphological optimization algorithm is constructed and it will be used for edge detection of defected wood images.The edges of wood images are more accurate,integrated and continuous.In contrast to the classical edge detection algorithm,the method performs better in noise-suppression and edge detection.The experimental results verify the feasibility and validity.
Keywords:mathematical morphology  morphological gradient  edge detection  non-destructive detection of wood
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号