基于图像处理的织物保形性检测

为更加全面、准确地评价织物保形性,开发了能够模拟织物在日常使用中被压皱后展平的恢复过程动态检测系统。通过检测系统获取织物折痕回复的视频序列,利用程序提取出各时刻的单帧视频图像,然后依次对图像进行预处理、二值化处理与细化处理,最后提取出反映织物保形性的指标,包括顶角、顶高、保形面积。实验结果表明:在折痕回复阶段,随时间延长各指标变化速率逐渐降低,在压力为10 N,加压时间为10 s的条件下,试样在60 s后趋于平稳;60 s时的顶角与现有标准方法测得的折皱回复角存在线性函数关系,顶高、保形面积与标准方法测得的悬垂系数之间存在线性函数关系。该系统可以通过顶角、顶高、保形面积3项指标预测织物折皱回复角与悬垂系数,并能够精确描述织物保形性动态变化过程,可实现对织物保形性精确、全面的评价。

Detection of fabric shape retention based on image processing

In order to evaluate the shape retention of a fabric comprehensively and accurately,a dynamic detection system was developed to simulate the recovery process of fabric flattening after being creased in daily uses.The video sequence of fabric crease recovery is obtained by the detection system,and the single frame video image at each time is extracted by the program,and then the image is preprocessed,binarized and refined in turn.The indexes reflecting the fabric shape retention,including angle,height and shape preserving area,are extracted.The experimental results show that in the crease recovery stage,the change rate of each index gradually decreases with time.Under the condition of pressure 10 N and pressure time 10 s,the sample tends to become stable after 60 s in recovery stage.A linear relationship exists between the angle at 60 s and the wrinkle recovery angle measured by the existing standard method,and relationships between the height,shape retention area and the drape coefficient are linear too.The results show that the system can predict the wrinkle recovery angle and drape coefficient of fabric through the three indexes of angle,height and shape retention area,and it can accurately describe the dynamic change process of fabric shape,and can be used to evaluate the fabric shapes accurately and comprehensively.