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织物密度的数字图像检测方法
引用本文:卢凤龙,钱志欢. 织物密度的数字图像检测方法[J]. 光学仪器, 2014, 36(2): 126-130,135
作者姓名:卢凤龙  钱志欢
作者单位:浙江工业大学 理学院, 浙江 杭州 310023;浙江工业大学 理学院, 浙江 杭州 310023
摘    要:针对织物的纱线密度检测,提出一种对织物图像,信息进行检测的方法。通过数字相机获得织物图像,对织物图像进行最优二值化处理。利用像素黑白颜色区分织物上的纱线和间隙,通过扫描经线和纬线方向的像素颜色值获得纱线处像素颜色特性,从而计算出经线方向和纬线方向的纱线数目。根据各方向最大像素数得织物的大小,即可得知织物的密度。

关 键 词:织物密度  数字图像处理  图像二值化
收稿时间:2013-10-22

The detection method of digital image for fabric density
LU Fenglong and QIAN Zhihuan. The detection method of digital image for fabric density[J]. Optical Instruments, 2014, 36(2): 126-130,135
Authors:LU Fenglong and QIAN Zhihuan
Affiliation:College of Science, Zhejiang University of Technology, Hangzhou 310023, China;College of Science, Zhejiang University of Technology, Hangzhou 310023, China
Abstract:For density identification of fabric, we put forward a method to detect density with the fabric image. In this system, fabric image is got by the digital camera then the fabric image is processed by binaryzation method. We can discriminate yarns and intervals by white pixels and black pixels. To scan warp pixel color and weft pixel color, we can know color characteristic of yarn pixels, so the number of warp yarns and weft yarns can be got. Length and width is known by the maximum pixel number of warp yarns and weft yarns, thus, fabric density can be easily computed.
Keywords:fabric density  digital image processing  image binaryzation
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