Similar image retrieval in large-scale trademark databases based on regional and boundary fusion feature

Author:

Wu Meihong,Xiao Wenbin,Hong ZhilingORCID

Funder

National Natural Science Foundation of China

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference25 articles.

1. The state administration for industry and commerce of the People's Republic of China [Internet]. Available from: http://www.saic.gov.cn/.

2. China trademark net [Internet]. Available from: http://www.ctmo.gov.cn/.

3. Content-based of visual information retrieval;YJ Zhang;The Press of Beijing Science,2003

4. An experimental study of alternative shape-based image retrieval techniques;C Shahabi;Multimedia Tools and Applications,2007

5. Hybrid ensemble of classifiers for logo and trademark symbols recognition;B. Cyganek;Soft Computing,2015

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1. A shape and texture features fusion to retrieve similar Trademark Image Material;IOP Conference Series: Materials Science and Engineering;2021-04-01

2. Retrieval of Trademark Images by Using Local Shape and SURF Feature Fusion;Proceedings of 6th International Conference on Recent Trends in Computing;2021

3. Objective Evaluation of MPEG-7 Visual Descriptors in CBIR Systems;2020 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE);2020-11

4. Leaf identification using radial basis function neural networks and SSA based support vector machine;PLOS ONE;2020-08-19

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