%0 Journal Article
%T Overview of Image Textural Feature Extraction Methods<br>图像纹理特征提取方法综述
%A LIU li
%A KUANG Gangyao
%A <br>刘 丽
%A 匡纲要
%J 中国图象图形学报
%D 2009
%I 
%X Texture is an important visual cue. It widely exists in images and is hard to describe. Texture classification and segmentation is a hot research field in image processing. Due to its importance in texture classification and segmentation, texture feature extraction has received considerable attention during the past decades and numerous approaches have been presented in the literature. Based on extensive investigation of existing articles, the development history and current challenges of texture feature extraction methods are reviewed in details. First, a comprehensive overview of texture feature extraction methods is presented in this paper. Then, classification and comparisons of texture feature extraction methods are given. At last, conclusions and future development of texture feature extraction are discussed.
%K image texture
%K texture feature extraction
%K gray Level co-occurrence matrix
%K markov random field
%K fractal
%K wavelet
%K Gabor filter
%K autoregressive model<br>图像纹理
%K 纹理特征提取
%K 灰度共生矩阵
%K 马尔可夫随机场
%K 分形
%K 小波
%K Gabor滤波器
%K 自回归模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9604134B2BC2B2F7CD8D4F396DF77A15&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=E158A972A605785F&sid=6837BC93241057EF&eid=20C9FB8C7B4A22AD&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=18&reference_num=88