Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval
Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaus...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/615973 |
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| _version_ | 1832559417349898240 |
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| author | Zeng Jiexian Liu Xiupeng Fei Yu |
| author_facet | Zeng Jiexian Liu Xiupeng Fei Yu |
| author_sort | Zeng Jiexian |
| collection | DOAJ |
| description | Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaussian function first, and then the distance coherence vector is, respectively, extracted from the contour of the original image and evolved images. Multiscale distance coherence vector was obtained by reasonable weight distribution of the distance coherence vectors of evolved images contour. This algorithm not only is invariable to translation, rotation, and scaling transformation but also has good performance of antinoise. The experiment results show us that the algorithm has a higher recall rate and precision rate for the retrieval of images polluted by noise. |
| format | Article |
| id | doaj-art-5bb020d4eb8d45688901cc4fdc4dbe54 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-5bb020d4eb8d45688901cc4fdc4dbe542025-02-03T01:30:06ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/615973615973Multiscale Distance Coherence Vector Algorithm for Content-Based Image RetrievalZeng Jiexian0Liu Xiupeng1Fei Yu2School of Software, Nanchang Hangkong University, Nanchang 330063, ChinaSchool of Information Engineering, Nanchang Hangkong University, Nanchang 330063, ChinaSchool of Information Science and Engineering, Hunan University, Changsha 410082, ChinaMultiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. By this algorithm, the image contour curve is evolved by Gaussian function first, and then the distance coherence vector is, respectively, extracted from the contour of the original image and evolved images. Multiscale distance coherence vector was obtained by reasonable weight distribution of the distance coherence vectors of evolved images contour. This algorithm not only is invariable to translation, rotation, and scaling transformation but also has good performance of antinoise. The experiment results show us that the algorithm has a higher recall rate and precision rate for the retrieval of images polluted by noise.http://dx.doi.org/10.1155/2014/615973 |
| spellingShingle | Zeng Jiexian Liu Xiupeng Fei Yu Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval The Scientific World Journal |
| title | Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval |
| title_full | Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval |
| title_fullStr | Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval |
| title_full_unstemmed | Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval |
| title_short | Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval |
| title_sort | multiscale distance coherence vector algorithm for content based image retrieval |
| url | http://dx.doi.org/10.1155/2014/615973 |
| work_keys_str_mv | AT zengjiexian multiscaledistancecoherencevectoralgorithmforcontentbasedimageretrieval AT liuxiupeng multiscaledistancecoherencevectoralgorithmforcontentbasedimageretrieval AT feiyu multiscaledistancecoherencevectoralgorithmforcontentbasedimageretrieval |