基于图像技术的织物导湿性能测试方法

为提高织物导湿性能测试的准确性,在传统滴液法的基础上借助摄像机获得织物润湿图像后,利用同态滤波对图像进行增强预处理,再经阈值分割和形态学处理后,提取到织物的导湿面积对其导湿性能进行表征。重点分析了测试用液体、滴液高度、滴液用量及图像采集样本数量等参数对导湿性能测试结果稳定性的影响。结果表明:图像技术方法较传统方法更快速准确,稳定性和再现性好;以机织物作为测试对象时,选择测试液体为去离子水,单次滴液量为40 μL,滴液高度为2 cm时,重复实验5次,此时织物导湿面积测试结果变异系数小,测试方法稳定性较高。

Testing method for fabric moisture conductivity based on image technology

In order to improve the test accuracy of the fabric moisture conductivity, fabric wetting images were obtained with the camera based on the traditional spot test. The images were enhanced by homomorphic filtering, and then processed by threshold segmentation and morphological processing. The moisture conductivity area extracted from the fabric image was used to characterize the moisture conductivity of the fabric. The influence of the test parameters such as the test liquid, drip height, drip volume and the number of image samples for stability of the test results was discussed. The results show that this method is faster and more accurate than the traditional test method, and it demonstrates good stability and repeatability. When woven fabrics were used as the test object, under conditions of using 40 μL deionized water as test liquid with 2 cm drop height and 5 repeated tests, the moisture conducting areas show low variation coefficient and exhibit stable results.