基于自适应小波三层分解的织物疵点检测

Fabric Defect Detection Based on Adaptive Wavelet of Three-tier Decomposition

提出了运用自适应正交小波对织物图像进行三层分解的织物疵点检测方法。通过借鉴Daubechies的构造条件构造织物自适应小波,由自适应小波对织物图像进行三层分解,将疵点信息融合后设定固定的阈值进行二值化。同采用DB族小波分析结果比较与实验检测,表明此方法有效。

By the use of adaptive orthogonal wavelet decomposition of three-layer fabric image, a method of fabric defect detection was developed. It illuminated the construction of adaptive orthonormal wavelets by refering the Daubechies wavelets. The fabric defect image was decomposed into three-layer by adaptive wavelet, and then the defects information would be fusion to set a fixed threshold value to binarize. It compared with the results by the use of DB, and the experiment proved the method to be effective.