Computer Recognition Algorithm for Density Uniformity of Clothing Fabric
This paper proposes a new computer recognition algorithm which can analyze density uniformity of clothing fabric easily and correctly based on Difference Value Matrix Model (DVMM). Firstly, the clothing fabric image must be pretreated to make it more distinct. Secondly, the clothing fabric image is divided into some segments according to precision demand and a matrix of points position is built. Thirdly, the weft difference value matrix and the warp difference value matrix are constructed by calculating the difference value between a point and near point. Fourthly, we present Offset Mean Value Formula (OMVF) to analyze density uniformity of clothing fabric for every segment. Fifthly, considering all segments weft and warp difference value matrix, a changing curve for density uniformity of fabric is depicted. Finally, an example proves that above method is effective for detecting density uniformity of clothing fabric.
Computer Recognition Algorithm Uniformity Fabric.
Zhe Liu Shizhong Cui
Zhongyuan University of Technology, Zhengzhou
国际会议
昆明
英文
318-322
2008-11-22（万方平台首次上网日期，不代表论文的发表时间）