A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low freq...A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images, and the scale-invariant feature transform is employed to extract feature points from the low frequency im- age. A proximity matrix is constructed for the feature points of two related images. By singular value decomposition of the proximity matrix, a matching matrix （or matching result） reflecting the match- ing degree among feature points is obtained. Experimental results indicate that the proposed algorithm can reduce time complexity and possess a higher accuracy.展开更多
为能够及时地获取纺纱过程中纱线质量变化信息,为优化纱线工艺参数服务,提出一种实时检测纱线条干均匀度的测量方法。为提高测量效率,首先使用最小外接矩形对实时采集的连续纱线图像进行感兴趣区域(region of interest,ROI)获取,对获取...为能够及时地获取纺纱过程中纱线质量变化信息,为优化纱线工艺参数服务,提出一种实时检测纱线条干均匀度的测量方法。为提高测量效率,首先使用最小外接矩形对实时采集的连续纱线图像进行感兴趣区域(region of interest,ROI)获取,对获取纱线图像根据纱线方向进行自动裁剪。其次基于最大类间方差法(OTSU)阈值分割及形态学运算获得的纱线条干二值图像。最后利用尺度不变特征转换(scale-invariant feature transform,SIFT)算法检测特征点对重合部分数据去除,保证纱线数据的完整及连续性,提出加入纱线倾斜角计算纱线直径方法。基于此方法计算对3种线密度的紧密纺纯棉纱的纱线直径并对纱线条干及纱疵进行检测。实验测量直径平均误差为2.38%,变异系数(coefficient of variation,CV)值与Uster Classimat5条干测试仪测试结果基本一致,表明此方法可满足纱线运动速度为5~30 m/min的纱线条干均匀度实时检测。展开更多
基金supported by the National Natural Science Foundation of China (6117212711071002)+1 种基金the Specialized Research Fund for the Doctoral Program of Higher Education (20113401110006)the Innovative Research Team of 211 Project in Anhui University (KJTD007A)
文摘A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images, and the scale-invariant feature transform is employed to extract feature points from the low frequency im- age. A proximity matrix is constructed for the feature points of two related images. By singular value decomposition of the proximity matrix, a matching matrix （or matching result） reflecting the match- ing degree among feature points is obtained. Experimental results indicate that the proposed algorithm can reduce time complexity and possess a higher accuracy.
文摘为能够及时地获取纺纱过程中纱线质量变化信息,为优化纱线工艺参数服务,提出一种实时检测纱线条干均匀度的测量方法。为提高测量效率,首先使用最小外接矩形对实时采集的连续纱线图像进行感兴趣区域(region of interest,ROI)获取,对获取纱线图像根据纱线方向进行自动裁剪。其次基于最大类间方差法(OTSU)阈值分割及形态学运算获得的纱线条干二值图像。最后利用尺度不变特征转换(scale-invariant feature transform,SIFT)算法检测特征点对重合部分数据去除,保证纱线数据的完整及连续性,提出加入纱线倾斜角计算纱线直径方法。基于此方法计算对3种线密度的紧密纺纯棉纱的纱线直径并对纱线条干及纱疵进行检测。实验测量直径平均误差为2.38%,变异系数(coefficient of variation,CV)值与Uster Classimat5条干测试仪测试结果基本一致,表明此方法可满足纱线运动速度为5~30 m/min的纱线条干均匀度实时检测。
