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 。
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
出处
《东华大学学报（自然科学版）》
CAS
CSCD
北大核心
2002年第2期77-81,共5页
Journal of Donghua University(Natural Science)
基金
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
关键词
织物疵点
疵点检测
自适应小波变换
图像分解
fabric defect, defect inspection, adaptive wavelet transform, image decomposition
