摘要
为实现机织物的组织识别,先要完成组织点的定位和识别。为克服传统的组织点分割方法的局限性,提出采用Hough变换检测织物图像中的经纱和纬纱的倾斜角度,然后对织物图像中的像素点进行坐标变换。在变换后的图像中对像素点进行按行按列灰度累加,通过确定累加曲线中的谷点即可完成织物的经纬纱分割。对经纱和纬纱分割结果进行合并,可得到机织物组织点分割结果。实验结果表明,所提出的算法对存在纱线倾斜的不同织物均可实现组织点的成功定位。
To recognize the weave of woven fabrics,the crossing points should first be located and recognized.To overcome the limitations of conventional crossing points segmentation method,Hough transform is proposed to detect the skew angle of the warp and weft,and then coordinate transform is applied for the pixels in the fabric.By accumulating the gray levels of the pixels in the same horizontal or vertical line in the fabric image after coordinate transform,the projection curve can be obtained.By locating the minimums in the projection curve,the warps and wefts can be segmented individually.The crossing points can be located by combining the warp and weft segmentation results.The experimental results show that the algorithm proposed in this study can locate the cross points in fabrics with skew weft or warp yarns.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2010年第3期59-63,共5页
Journal of Textile Research
基金
江苏省自然科学基金资助项目(BK2009511)
