%0 Journal Article
%T Automatic surface-detecting for statistical texture<br>统计纹理的自动表面检测
%A WEN Zhao-lin
%A CHEN Xin
%A LI Ke-tian
%A ZHENG De-tao
%A <br>温兆麟
%A 陈新
%A 李克天
%A 郑德涛
%J 计算机应用研究
%D 2007
%I 
%X This paper brought forth an overall scheme of automatic detecting, which was applied to the surface of stochastic texture, including sand paper, casting and many industrial materials. Based on the overall image reconstruction method of Fourier transform, the scheme is independent from the partial feature of texture, with its effectiveness testified by outcomes of a number of tests on various statistical textures.
%K surface-detecting
%K defect-detecting
%K statistical texture
%K Fourier transform
%K image reconstruction<br>表面检测
%K 缺陷检测
%K 统计纹理
%K 傅里叶变换
%K 图像重构
%K 统计纹理
%K 自动
%K 表面检测
%K texture
%K statistical
%K 有效性
%K 结果
%K 实验
%K 同质区域
%K 表面缺陷
%K 近似
%K 灰度
%K 恢复图像
%K 重复性结构
%K 周期性
%K 逆傅里叶变换
%K 图像恢复
%K 应用
%K 特征
%K 局部
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6E151AC1D243613CF&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=23104246A5FCFCEF&eid=5D9D6A8FC2C66FD8&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=6