Design Patent Retrieval Based on Gabor Wavelet and LBP
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.
design patent image retrieval Gabor filter LBP texture
Qingqing Li Changsheng Zhou Xueqiang Lv Houyun Yang Kai Zhang
Beijing Key Laboratory of Internet Culture and Digital Dissemination Research Beijing Information Sc Beijing Information Science and Technology University Network Center, Beijing, China
国际会议
重庆
英文
503-509
2015-03-21(万方平台首次上网日期,不代表论文的发表时间)