典型文献
Photometric Stereo-Based 3D Reconstruction Method for the Objective Evaluation of Fabric Pilling
文献摘要：
Fabric pilling evaluation has been considered as an es-sential element for textile quality inspection.Traditional manual method is still based on human eyes and brain,which is subjective with low efficiency.This paper proposes an objective evaluation method based on semi-calibrated near-light Photometric Stereo(PS).Fabric images are digitalized by self-developed image acqui-sition system.The 3D depth information of each point could be obtained by PS algorithm and then mapped to 2D grayscale im-age.After that,the non-textured image could be filtered by using the Gaussian low-pass filter.The pilling segmentation is con-ducted by using global iterative threshold segmentation method,and then K-Nearest Neighbor(KNN)is finally selected as a tool for the grade classification of fabric pilling.Our experimental re-sults show that the proposed evaluation system could achieve ex-cellent judging performance for the objective pilling evaluation.
文献关键词：
中图分类号：
作者姓名：
LUO Jian;XIN Binjie;YUAN Xiuwen
作者机构：
School of Fashion Engineering,Shanghai University of Engineering Science,Shanghai 201620,China
文献出处：
引用格式：
[1]LUO Jian;XIN Binjie;YUAN Xiuwen-.Photometric Stereo-Based 3D Reconstruction Method for the Objective Evaluation of Fabric Pilling)[J].武汉大学自然科学学报（英文版）,2022(06):550-556
A类：
Pilling,pilling,acqui
B类：
Photometric,Stereo,Based,Reconstruction,Method,Objective,Evaluation,Fabric,evaluation,has,been,considered,sential,element,textile,quality,inspection,Traditional,manual,method,still,human,eyes,brain,which,subjective,low,efficiency,This,paper,proposes,objective,semi,calibrated,near,light,PS,images,digitalized,by,self,developed,sition,system,depth,information,each,point,could,obtained,algorithm,then,mapped,2D,grayscale,After,that,textured,filtered,using,Gaussian,pass,segmentation,ducted,global,iterative,threshold,Nearest,Neighbor,KNN,finally,selected,tool,grade,classification,fabric,Our,experimental,sults,show,proposed,achieve,cellent,judging,performance
AB值：
0.584364
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
