Automatic inspection of yarn-dyed fabric density by mathematical statistics of sub-images

作者：Zhang, Jie; Pan, Ruru^*; Gao, Weidong; Zhu, Dandan

来源：Journal of the Textile Institute, 2015, 106(8): 823-834.

DOI：10.1080/00405000.2014.946342

• frequency curve
• fabric density
• projection curve
• mathematical statistics
• yarn-dyed fabric
• data smoothing

To inspect the yarn-dyed fabric density automatically, an effective image analysis method based on mathematical statistics of sub-images is proposed in this paper. This method consists of two main steps: rough measurement and precise measurement. The rough measurement is based on projection curve of the whole fabric image. The fabric image is converted into HSV model from RGB model firstly, and then the projection curve of value is gained directly. The number of yarns is obtained by counting the number of peaks in the curve roughly. The precise measurement is based on projection curves of the fabric sub-images. According to the roughly estimated yarn number, the whole fabric image is divided into a certain amount of sub-images and the projection method is applied to all the sub-images, respectively. The probability distribution map of peaks is obtained by processing the projection curves of all sub-images and the positions of the yarn center are located in the frequency curve generated from the map by mathematical statistics method. The number of peaks in the frequency curve is counted, and, therefore, the number of yarns is detected, and the density can be calculated precisely. The experimental results proved that the proposed method is effective for yarn-dyed fabrics and can satisfy the requirement for production practice.

• 出版日期2015-8-3
• 单位江南大学