Fabric defect detection using adaptive wavelet
Fabric defect detection using adaptive wavelet
复制标题
DOI：
10.1109/icassp.2001.940645
复制
发表时间：
2001-05
期刊：
影响因子：
--
通讯作者：
Y. Zhi;G. Pang;N. Yung
中科院分区：
文献类型：
--
作者：
Y. Zhi;G. Pang;N. Yung
本文研究了织物疵点检测的自适应小波设计。为了实现平移不变性和更灵活的设计，小波设计的重点是非下采样小波变换。我们设计的小波滤波器的约束下，分析滤波器是幂互补和小波只有一个消失的时刻，这对应于一个多尺度边缘检测器。基于格型结构分解，幂补滤波器的设计是格型系数的无约束优化问题。实验中针对五种织物疵点设计了自适应小波。将该方法与基于缺陷区域与背景正交小波变换能量的自适应小波设计缺陷检测方法进行比较，实现了对织物缺陷的鲁棒性和准确性检测。
This paper studies the adaptive wavelet design for fabric defect detection. In order to achieve translation invariance and more flexible design, the wavelet design focuses on the nonsubsampled wavelet transform. We design the wavelet filters under the constraints that the analysis filters are power-complementary and the wavelet has only one vanishing moment, which corresponds to a multiscale edge detector. Based on lattice structure factorization, the design of the power-complementary filters turns out to be unconstrained optimization of lattice coefficients. Adaptive wavelets are designed for five kinds of fabric defects in the experiments. Comparing the proposed method with adaptive wavelet design for defect detection based on orthogonal wavelet transform energy between the defect area and the background, and achieve a robust and accurate detection of fabric defects.