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基于不变矩特征木材纹理的研究
引用本文:谢永华.基于不变矩特征木材纹理的研究[J].林业机械与木工设备,2006,34(6):29-30.
作者姓名:谢永华
作者单位:东北林业大学机电工程学院,黑龙江,哈尔滨,150040
摘    要:不变矩是模式识别中的一种重要方法,它具有平移不变性、比例不变性和旋转不变性等优点。本文将其引入到木材纹理的计算机视觉研究领域,提取了木材纹理的不变矩参数,并用提取的特征参数对木材纹理进行了分类研究,最近邻分类器的正确率为86.67%,获得了较高的分类正确率,从而验证了不变矩参数对木材纹理描述的有效性。

关 键 词:不变矩  木材  纹理  最近邻分类器
文章编号:1001-4462(2006)06-0029-02
收稿时间:2006-04-03
修稿时间:2006年4月3日

The Research of Wood Texture Based on Invariant Moments
XIE Yong-hua.The Research of Wood Texture Based on Invariant Moments[J].Forestry Machinery & Woodworking Equipment,2006,34(6):29-30.
Authors:XIE Yong-hua
Institution:College of Machinery and Electricity of Northeast Forestry University, Heilongjiang Harbin 150040, China
Abstract:Invariant moments are important measure in the pattern recognition.Invariant moments are independent of position,scale and orientation.So this paper introduced it to wood texture computer vision research area,and extracted the invariant moments'parameters of wood texture.The classification was carried on wood texture of samples based on invariant moments'parameters,and the correct ratio of the nearest neighbor classifier reached 86.67% and confirmed that invariant moments'parameters were effective to describe wood texture.
Keywords:invariant moments  wood  texture  the nearest neighbor classifier
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