Design Patent Retrieval Based on Gabor Wavelet and LBP

Q.Q. Li; C.S. Zhou; X.Q. Lv; H.Y. Yang; K. Zhang

doi:10.4028/www.scientific.net/AMM.743.503

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 743Design Patent Retrieval Based on Gabor Wavelet and...

Design Patent Retrieval Based on Gabor Wavelet and LBP

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volume 743)

Pages:

503-509

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.743.503

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Online since:

March 2015

Authors:

Q.Q. Li*, C.S. Zhou, X.Q. Lv, H.Y. Yang, K. Zhang

Keywords:

Design Patent, Gabor Filter, Image Retrieval, LBP, Texture

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* - Corresponding Author

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