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用于疵点检测的织物自适应正交小波的实现
引用本文:李立轻,黄秀宝. 用于疵点检测的织物自适应正交小波的实现[J]. 东华大学学报(自然科学版), 2002, 28(2): 77-81
作者姓名:李立轻  黄秀宝
作者单位:东华大学纺织学院,上海,200051
基金项目:高等学校博士学科点专项科研基金资助课题编号 990 2 550 8
摘    要:应用随机算法并给以一定的约束条件,可以有效地由满足正交归一条件的滤波器中,优化获得与织物纹理相匹配的滤波器。应用这种织物自适应滤波器对织物灰度图像进行小波分解,就可使分解后的子图像能很好地分别包含织物的纬向和经向纹理信息,从而可有效地应用于织物疵点的自动检测。

关 键 词:织物疵点 疵点检测 自适应小波变换 图像分解
修稿时间:2001-05-08

Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection
Li Liqing,Huang Xiubao. Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection[J]. Journal of Donghua University, 2002, 28(2): 77-81
Authors:Li Liqing  Huang Xiubao
Abstract:The wavelet adapted to the fabric texture can be developed from the orthogonal and normal series which are selected randomly by means of Monte Carlo method and optimized by adding certain constraint conditions The fabric image can be decomposed into the subimages by the adaptive wavelet transform and the horizontal and vertical texture information will be perfectly contained in the subimages Therefore this method can be effectively used for the automatic inspection of the fabric defects
Keywords:fabric defect   defect inspection   adaptive wavelet transform   image decomposition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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