Design Patent Retrieval Based on Gabor Wavelet and LBP

摘要：

　　Due to the diversity and complexity of design patent images,it is difficult to retrieve well if extracting features from images directly.A design patent image retrieval method based on Gabor filter and LBP is proposed in the paper.Firstly,doing low-pass filtering to the normalized images with Gabor filter to amplify the images’ details,then extracting image’s texture feature with LBP algorithm,calculating images’ similarity according to the distance formula after feature vectors’ internal normalization,finally return several similar images.The experimental results show that this retrieval method get better retrieval accuracy and correct rate.

关键词： design patent image retrieval Gabor filter LBP texture

作者: Qingqing Li Changsheng Zhou Xueqiang Lv Houyun Yang Kai Zhang

作者单位: Beijing Key Laboratory of Internet Culture and Digital Dissemination Research Beijing Information Sc Beijing Information Science and Technology University Network Center, Beijing, China

会议类型: 国际会议

会议名称: 2015 International Conference on Mechanical, Electronics and Information Technology Engineering(ICMITE2015)(2015机械、电子与信息技术工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 503-509

在线出版日期: 2015-03-21（万方平台首次上网日期，不代表论文的发表时间）