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一种新的纹理基元发现及表达方法
引用本文:王佐成,薛丽霞.一种新的纹理基元发现及表达方法[J].重庆邮电大学学报(自然科学版),2011,23(1):115-120.
作者姓名:王佐成  薛丽霞
作者单位:重庆邮电大学 软件学院,重庆 4000651
基金项目:重庆邮电大学博士科研基金(A2008-14);中国博士后科学基金 (20090450219)
摘    要:传统的纹理统计方法中对纹理基元采用形式语法的抽象表达使得算法非常复杂.基于图像关联规则挖掘,可发现纹理图像中的频繁模式,将频繁模式构建为纹理联合关联规则,纹理基元可以通过这些强关联规则特征矢量表达.实验证明,纹理关联规则纹理基元特征矢量能够很好区分纹理特征,并且易于表达以及在图像处理中使用,并具有方向不变性,能够为模糊...

关 键 词:纹理图像  纹理基元  数据挖掘  频繁模式
收稿时间:2009/11/25 0:00:00

A new representation method of image texton
WANG Zuo-cheng,XUE Li-xia.A new representation method of image texton[J].Journal of Chongqing University of Posts and Telecommunications,2011,23(1):115-120.
Authors:WANG Zuo-cheng  XUE Li-xia
Abstract:Traditional texture statistical method is very complex because of the Texton representation method by formal syntax. Based on association rules data mining of image, the frequent patterns can be discovered and the textural combined association rules can be constructed by the frequent patterns. The texton can be represented by the characteristic vector of textural combined association rules. Experiments testified that the texton of characteristic vector of textural combined association rules can identify the textural features, and be easy to use in image processing. The texton has the characteristic of directional stability, which proposes a new idea for fuzzy and random texture image processing.
Keywords:textural image  texton  data mining  frequent pattern
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