基于SURF和VLAD特征编码的面料 图案检索研究  

Research on fabric pattern retrieval based on SURF and VLAD feature coding

作　　者：赵文浩 向军 张宁 潘如如 ZHAO Wenhao;XIANG Jun;ZHANG Ning;PAN Ruru(College of Textile Science and Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China)

机构地区：[1]江南大学纺织科学与工程学院,江苏无锡214122

出　　处：《纺织学报》2023年第8期110-117,共8页Journal of Textile Research

基　　金：国家自然科学基金项目(61976105);中国纺织工业联合会应用基础研究项目(J202006)。

摘　　要：为解决纺织面料图案检索算法检索效率低下、精度低等问题,提出一种基于SURF和VLAD特征编码的纺织面料图案检索算法。首先构建带有图案的面料数据库,并提取图像的SURF特征以对图像内容进行表达;接着对采集的原始面料进行聚类生成视觉词典,由生成的视觉词典对数据库中面料图像的SURF特征进行VLAD特征编码,以聚合生成VLAD向量;然后在保证VLAD对图像表达能力的前提下,对生成的VLAD向量进行主成分分析以降低向量维度,提高检索效率;最后采用Ball-tree算法构建索引,加快匹配速度,提高检索效率。实验结果显示,在视觉词典规模为512,保留维度数为512时,算法平均检索精度达到了83.5%,平均检索时间为0.488 s。Objective With the increasing proportion of patterned fabrics produced in fabric manufacturing enterprises,there have been more requirements relating to the production and management of such fabrics,including querying the production materials of imitation,reducing the inventory management costs.The current textile pattern retrieval algorithm has low retrieval efficiency and poor adaptability,which is not conducive to the retrieval of fabric patterns by fabric enterprises.Therefore,a fast and accurate retrieval algorithm for similar patterns was proposed to help enterprises improve the utilization rate of production materials and reduce the cost of fabric inventory management,and promote textile fabric enterprises to enhance the competitiveness of the industry.Method This research proposed a textile pattern retrieval algorithm based on SURF(speeded up robust features)and VLAD(vector of locally aggregated descriptors)feature coding.A fabric database with patterns was constructed,and SURF features of the image were extracted to express the image content,before the original fabric was clustered to generate a visual dictionary.The generated visual dictionary encoded the SURF features of the fabric image in the database with VLAD features to aggregate to generate VLAD vectors.On the premise of ensuring the ability of VLAD to express images,principal component analysis was performed on the generated VLAD vectors to reduce the vector dimensions and improve the retrieval efficiency.Finally,the Ball tree algorithm was used to build the index to accelerate the matching speed and improve the retrieval efficiency.Results In order to obtain good retrieval performance,the parameters of the algorithm used were optimized.Through the comparison of retrieval precision and time,it was seen that within a certain range the precision of fabrics was improved with the increase of dictionary size K.However,when K was increased to 1024,the precision only increased slightly with the retrieval time doubled.As the size of the visual dictionar

关 键 词：面料检索 SURF特征 VLAD特征编码 面料图案 主成分分析 

分 类 号：TS941.26[轻工技术与工程—服装设计与工程]