Colour image retrieval based on the hypergraph combined with a weighted adjacent structure
Content‐based image retrieval (CBIR) is a research hotspot. To improve the performance of a CBIR system, especially the retrieval accuracy, this work proposes a method that uses a soft hypergraph combined with a weighted adjacent structure (WAS) to retrieve images. In this method, the similarities b...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-08-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2017.0566 |
| _version_ | 1797684839592230912 |
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| author | Suliang Yu Dongmei Niu Liangliang Zhang Mingjun Liu Xiuyang Zhao |
| author_facet | Suliang Yu Dongmei Niu Liangliang Zhang Mingjun Liu Xiuyang Zhao |
| author_sort | Suliang Yu |
| collection | DOAJ |
| description | Content‐based image retrieval (CBIR) is a research hotspot. To improve the performance of a CBIR system, especially the retrieval accuracy, this work proposes a method that uses a soft hypergraph combined with a weighted adjacent structure (WAS) to retrieve images. In this method, the similarities between images are computed and a similarity matrix is constructed by a conjoined colour difference histogram and micro‐structure descriptor method. Furthermore, a novel WAS and a soft hypergraph model are utilised to further improve the retrieval precision. The proposed method is compared with other methods in several datasets. Experimental results manifest the performance and robustness of this proposed method. |
| first_indexed | 2024-03-12T00:35:32Z |
| format | Article |
| id | doaj.art-d5e45fb223cd471d9e61a9d97ba41c75 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:35:32Z |
| publishDate | 2018-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-d5e45fb223cd471d9e61a9d97ba41c752023-09-15T09:48:11ZengWileyIET Computer Vision1751-96321751-96402018-08-0112556356910.1049/iet-cvi.2017.0566Colour image retrieval based on the hypergraph combined with a weighted adjacent structureSuliang Yu0Dongmei Niu1Liangliang Zhang2Mingjun Liu3Xiuyang Zhao4School of Information Science and Engineering, University of JinanJinanPeople's Republic of ChinaSchool of Information Science and Engineering, University of JinanJinanPeople's Republic of ChinaSchool of Information Science and Engineering, University of JinanJinanPeople's Republic of ChinaSchool of Information Science and Engineering, University of JinanJinanPeople's Republic of ChinaSchool of Information Science and Engineering, University of JinanJinanPeople's Republic of ChinaContent‐based image retrieval (CBIR) is a research hotspot. To improve the performance of a CBIR system, especially the retrieval accuracy, this work proposes a method that uses a soft hypergraph combined with a weighted adjacent structure (WAS) to retrieve images. In this method, the similarities between images are computed and a similarity matrix is constructed by a conjoined colour difference histogram and micro‐structure descriptor method. Furthermore, a novel WAS and a soft hypergraph model are utilised to further improve the retrieval precision. The proposed method is compared with other methods in several datasets. Experimental results manifest the performance and robustness of this proposed method.https://doi.org/10.1049/iet-cvi.2017.0566soft hypergraph modelmicro-structure descriptor methodconjoined colour difference histogramsimilarity matrixWASCBIR system |
| spellingShingle | Suliang Yu Dongmei Niu Liangliang Zhang Mingjun Liu Xiuyang Zhao Colour image retrieval based on the hypergraph combined with a weighted adjacent structure IET Computer Vision soft hypergraph model micro-structure descriptor method conjoined colour difference histogram similarity matrix WAS CBIR system |
| title | Colour image retrieval based on the hypergraph combined with a weighted adjacent structure |
| title_full | Colour image retrieval based on the hypergraph combined with a weighted adjacent structure |
| title_fullStr | Colour image retrieval based on the hypergraph combined with a weighted adjacent structure |
| title_full_unstemmed | Colour image retrieval based on the hypergraph combined with a weighted adjacent structure |
| title_short | Colour image retrieval based on the hypergraph combined with a weighted adjacent structure |
| title_sort | colour image retrieval based on the hypergraph combined with a weighted adjacent structure |
| topic | soft hypergraph model micro-structure descriptor method conjoined colour difference histogram similarity matrix WAS CBIR system |
| url | https://doi.org/10.1049/iet-cvi.2017.0566 |
| work_keys_str_mv | AT suliangyu colourimageretrievalbasedonthehypergraphcombinedwithaweightedadjacentstructure AT dongmeiniu colourimageretrievalbasedonthehypergraphcombinedwithaweightedadjacentstructure AT liangliangzhang colourimageretrievalbasedonthehypergraphcombinedwithaweightedadjacentstructure AT mingjunliu colourimageretrievalbasedonthehypergraphcombinedwithaweightedadjacentstructure AT xiuyangzhao colourimageretrievalbasedonthehypergraphcombinedwithaweightedadjacentstructure |