Abstract

Fabric pilling evaluation is very important for the quality control of textile industry. Traditional image analysis based methods have the disadvantages of 2 D imaging and color sensitivity, this paper presents a new method based on stereo vision to solve the problem of 3 D imaging of fabric pilling. One set of self-developed mobile camera system is established to capture a group of images for the 3 D reconstruction of the fabric surface, the point cloud model of the fabric surface is generated by the self-developed stereo vision algorithm, including structure from motion (SFM) and patch-based multi-view stereo (PMVS) algorithm. One 2 D gray-scale image is obtained from the 3 D point cloud model by mapping to the 2 D image plane, which contains the depth information of fabric pilling. The segmentation of fabric pilling could be done by accurate positioning of edge detection, adaptive thresholding and morphological analysis. Four feature parameters including pilling number, pilling area, pilling density and coverage ratio are extracted for the determination of fabric pilling grade objectively. Experimental results show that the new developed system and method is effective and reliable for the fabric pilling evaluation, which is consistent with the subjective pilling evaluation. It is workable for the color printed or yarn dyed fabrics, the proposed imaging system could be a good solution for the digital intelligent quality control of textile products.

摘要

织物起球评价对于纺织行业的质量控制非常重要。传统的基于图像分析的方法存在二维成像和颜色敏感度的不足，本文提出了一种基于立体视觉的新方法来解决织物起球的3D成像问题。建立一套自主研发的手机摄像系统，采集一组图像用于织物表面的3D重建，织物表面的点云模型由自主研发的立体视觉算法生成，包括运动结构(SFM) 和基于补丁的多视图立体 (PMVS) 算法。将3D点云模型映射到2D图像平面，得到一张2D灰度图像，其中包含织物起球的深度信息。织物起毛起球的分割可以通过边缘检测的精确定位、自适应阈值化和形态分析来完成。提取起球数、起球面积、起球密度和覆盖率4个特征参数，客观确定织物起球等级。实验结果表明，新开发的系统和方法用于织物起球评价是有效和可靠的，与主观起球评价一致。它适用于彩色印花或色织织物，所提出的成像系统可以很好地解决纺织产品的数字化智能质量控制。提取起球密度和覆盖率，用于客观确定织物起球等级。实验结果表明，新开发的系统和方法用于织物起球评价是有效和可靠的，与主观起球评价一致。它适用于彩色印花或色织织物，所提出的成像系统可以很好地解决纺织产品的数字化智能质量控制。提取起球密度和覆盖率，用于客观确定织物起球等级。实验结果表明，新开发的系统和方法用于织物起球评价是有效和可靠的，与主观起球评价一致。它适用于彩色印花或色织织物，所提出的成像系统可以很好地解决纺织产品的数字化智能质量控制。