%0 Journal Article
%T A new representation method of image texton<br>一种新的纹理基元发现及表达方法
%A WANG Zuo-cheng
%A XUE Li-xia
%A <br>王佐成
%A 薛丽霞
%J 重庆邮电大学学报(自然科学版)
%D 2011
%I 
%X 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.
%K textural image
%K texton
%K data mining
%K frequent pattern<br>纹理图像
%K 纹理基元
%K 数据挖掘
%K 频繁模式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=B8EF504E27B9BD364E87D0E128CD2FF6&yid=9377ED8094509821&vid=EA389574707BDED3&iid=CA4FD0336C81A37A&sid=EDA22B444205D04A&eid=2B5DE8A23DCEED39&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=18