Intelligent recognition of the patterns of yarn-dyed fabric based on LSRT images
Intelligent recognition of the patterns of yarn-dyed fabric based on LSRT images
复制标题
基于LSRT图像的色织布花型智能识别
DOI：
10.1177/1558925019840659
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发表时间：
2019-04
影响因子：
2.9
通讯作者：
Weidong Gao
中科院分区：
文献类型：
--
作者：
Zhongjian Li;Shuo Meng;Lei Wang;Ning Zhang;Weidong Gao
本文提出了一种基于图像分析的色织织物颜色和织纹的智能检测方法。首先由织物图像采集装置采集反射光和透射光下的局部序列图像（LSRT图像），该图像由反射序列图像和透射序列图像组成。然后对透射序列图像进行傅里叶变换、图像分割和算术运算，确定编织点的位置。随后，从反射序列图像中提取每个编织点的L*a*B* 值。为了检测颜色图案，使用X-均值聚类算法基于L*a*B* 值对编织点进行分类。为了检测织物的组织图案，使用所有序列图像的不完全组织图案矩阵来匹配组织图案数据库。用该方法对每个色织样品的8幅LSRT图像进行了测试。实验结果表明，该方法能较好地识别色织织物的颜色和组织图案，具有较高的准确性和较好的鲁棒性。
In this article, an intelligent inspection method based on image analysis is proposed to identify the color and woven pattern of yarn-dyed fabric automatically. The local sequence images under the reflected light and transmitted light (LSRT images), which consist of reflection sequence images and transmission sequence images, are first captured by a fabric image acquisition device. Then the Fourier transform, image segmentation, and arithmetic operations are employed to the transmission sequence images to determine the location of weave points. Subsequently, the L*a*b* values of each weave point are extracted from the reflection sequence images. To inspect the color pattern, X-means clustering algorithm is used to classify the weave points based on the L*a*b* values. To detect the woven pattern, incomplete weave pattern matrixes of all sequence images are used to match the weave pattern database. Eight LSRT images of each yarn-dyed fabric sample are tested by the proposed method. The experimental results proved that the proposed method can recognize the color and weave pattern of yarn-dyed fabric with satisfactory accuracy and good robustness.
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