基于遗传规划的织物自适应正交小波基的构造和优化

 为了实现机织物疵点的自动检测，文章在构造织物自适应正交小波库的基础上，运用遗传规划算法，将构造的小波库作为群体规模，对遗传规划算法四种不同的适应度函数进行优选后，从群体规模中优化出与织物纹理相匹配的小波基。研究结果表明，以织物纹理波动为适应度函数得到的小波基与织物的匹配性较好。试验验证了该方法对相关疵点检测的有效性，并采用窗口分割法对织物疵点进行定位，表明采用遗传规划算法结合适应度函数优选的方法，能够找到与织物纹理相适应的最优小波基，实现织物疵点的自动检测。

Construction and optimization of fabric self-adaptive orthogonal wavelet based on genetic programming

In order to realize the automatic woven fabric defect inspection, the paper firstly constructs the fabric adaptive orthogonal wavelets libraries, and then takes the wavelets libraries as the group population of Genetic Programming Algorithm. After selecting the better one from four different kinds of Fitness Functions, the wavelet devices matching fabric texture are successfully founded from the group population. In comparison with the four fitness functions, taking the fabric texture fluctuations as the fitness functions can get the best wavelet device. The experiments verified the effectiveness of detection on some related defects, and the position of defects is located by window segmentation method. All of these show that the genetic programming algorithm combined with the fitness function optimization can find the optimal wavelet devices matching fabric texture, and realize the automatic fabric defect inspection.