计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (12): 236-238.DOI: 10.3778/j.issn.1002-8331.2010.12.071

• 工程与应用 • 上一篇    下一篇

基于纹理特征的古瓷片分类研究

王克刚1,2,耿国华2,周明全3   

  1. 1.安康学院 应用数学研究所,陕西 安康 725000
    2.西北大学 信息科学与技术学院,西安 710127
    3.北京师范大学 信息科学与技术学院,北京 100875
  • 收稿日期:2008-10-17 修回日期:2008-12-26 出版日期:2010-04-21 发布日期:2010-04-21
  • 通讯作者: 王克刚

Ancient shards classifications based on texture features

WANG Ke-gang1,2,GENG Guo-hua2,ZHOU Ming-quan3   

  1. 1.Institute of Applied Mathematics,Ankang College,Ankang,Shaanxi 725000,China
    2.School of Information Science and Technology,Northwest University,Xi’an 710127,China
    3.College of Information Science and Technology,Beijing Normal University,Beijing 100875,China
  • Received:2008-10-17 Revised:2008-12-26 Online:2010-04-21 Published:2010-04-21
  • Contact: WANG Ke-gang

摘要: 通过对Gabor滤波器相关参数的分析,提出了一组具有多尺度和多方向特征的Gabor滤波器对古瓷碎片图像进行处理,获取图像的纹理特征数据。采用主分量分析方法对所获取的纹理特征向量进行降维,利用最近邻法进行分类,实现了对古瓷碎片的自动分类识别。

Abstract: Based on analysis of Gabor-filters parameters,select filters with multi-scale and multi-orientation parameters,extract texture features from the convolution results that use these filters and shard images,and reduce the dimensions of feature-data based on principal component analysis.At last,use nearest neighbor method to automatically classify and recognize these ancient shards.

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