CAJ | 학술논문

为实现机织物密度的自动测量，设计了简单的图像采集装置以获得高清的织物图像。利用 MATLAB 编写算法，对织物图像进行图像灰度化、直方图规定化、中值滤波、灰度增强、带通滤波等处理，从而获得织物经纬方向的信息，得出机织物的经纬密度。实验表明，本算法不仅适用于纯色织物，也适用于一些简单的印花织物，与人工检测结果相比，机器检测结果的相对误差均在2%以内，假设检验结果说明算法具有较高的可信度和稳定性。
위실현궤직물밀도적자동측량，설계료간단적도상채집장치이획득고청적직물도상。이용 MATLAB 편사산법，대직물도상진행도상회도화、직방도규정화、중치려파、회도증강、대통려파등처리，종이획득직물경위방향적신식，득출궤직물적경위밀도。실험표명，본산법불부괄용우순색직물，야괄용우일사간단적인화직물，여인공검측결과상비，궤기검측결과적상대오차균재2%이내，가설검험결과설명산법구유교고적가신도화은정성。
For detecting fabric density automatically, a simple system for getting HD fabric image was built. MATLAB-based algorithms, gray level transformation, histogram specification, median filtering, gray level increase, and band-pass filter were used to deal with fabric image to get fabric density automatically. Experiments show that the algorithms are suited for plain fabrics and some simple printed fabrics; contrast experiments show the relative error between manual measurement and image measurement is less than 2%, and the hypothesis testing results demonstrate that the algorithms have high reliability and stability.