A Novel Shape Representation Method for Complex Trademark Image
Trademark orthogonal representation is an important research field in artificial intelligence technology and has extensive applications in trademark retrieval and recognition. However, the Gibbs phenomenon arises when complex trademark shapes are represented by using traditional methods, such as con...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8694769/ |
| _version_ | 1831645350423691264 |
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| author | Ben Ye Zhanchuan Cai Ting Lan Youqing Xiao |
| author_facet | Ben Ye Zhanchuan Cai Ting Lan Youqing Xiao |
| author_sort | Ben Ye |
| collection | DOAJ |
| description | Trademark orthogonal representation is an important research field in artificial intelligence technology and has extensive applications in trademark retrieval and recognition. However, the Gibbs phenomenon arises when complex trademark shapes are represented by using traditional methods, such as continuous orthogonal function and wavelet. In order to represent the complex trademark without Gibbs phenomenon, a novel method named hierarchical V-system (HV system) is proposed in this study, which is generated by V-system of multi-degree k (k = 0, 1, 2, 3). The hierarchical structure brings more detailed shape representation information. We show that the proposed method in this paper can represent the trademark shapes with fewer finite terms and obtain accurate representation result. This study also proposes the normalized descriptors of hierarchical V-system (HV descriptors). Furthermore, we demonstrate that the HV descriptors satisfy the invariance in rotation, translation, and scale transform. The experimental results show that the hierarchical V-system method can give reasonable descriptors for representing complex trademark without Gibbs phenomenon. |
| first_indexed | 2024-12-19T13:35:04Z |
| format | Article |
| id | doaj.art-6c792fca6d00439dbd61f44fabcee454 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T13:35:04Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6c792fca6d00439dbd61f44fabcee4542022-12-21T20:19:15ZengIEEEIEEE Access2169-35362019-01-017538005381110.1109/ACCESS.2019.29122308694769A Novel Shape Representation Method for Complex Trademark ImageBen Ye0Zhanchuan Cai1https://orcid.org/0000-0002-6954-7691Ting Lan2Youqing Xiao3Faculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaTrademark orthogonal representation is an important research field in artificial intelligence technology and has extensive applications in trademark retrieval and recognition. However, the Gibbs phenomenon arises when complex trademark shapes are represented by using traditional methods, such as continuous orthogonal function and wavelet. In order to represent the complex trademark without Gibbs phenomenon, a novel method named hierarchical V-system (HV system) is proposed in this study, which is generated by V-system of multi-degree k (k = 0, 1, 2, 3). The hierarchical structure brings more detailed shape representation information. We show that the proposed method in this paper can represent the trademark shapes with fewer finite terms and obtain accurate representation result. This study also proposes the normalized descriptors of hierarchical V-system (HV descriptors). Furthermore, we demonstrate that the HV descriptors satisfy the invariance in rotation, translation, and scale transform. The experimental results show that the hierarchical V-system method can give reasonable descriptors for representing complex trademark without Gibbs phenomenon.https://ieeexplore.ieee.org/document/8694769/Complex trademark imageorthogonal representationhierarchical V-systemdescriptors |
| spellingShingle | Ben Ye Zhanchuan Cai Ting Lan Youqing Xiao A Novel Shape Representation Method for Complex Trademark Image IEEE Access Complex trademark image orthogonal representation hierarchical V-system descriptors |
| title | A Novel Shape Representation Method for Complex Trademark Image |
| title_full | A Novel Shape Representation Method for Complex Trademark Image |
| title_fullStr | A Novel Shape Representation Method for Complex Trademark Image |
| title_full_unstemmed | A Novel Shape Representation Method for Complex Trademark Image |
| title_short | A Novel Shape Representation Method for Complex Trademark Image |
| title_sort | novel shape representation method for complex trademark image |
| topic | Complex trademark image orthogonal representation hierarchical V-system descriptors |
| url | https://ieeexplore.ieee.org/document/8694769/ |
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