EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING
The current global image descriptors are mostly obtained by using the local image features aggregation, which fail to take full account of the details of the image, resulting in the loss of the semantic content information. It cannot be well used to make a good distinction between the high similarit...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/303/2018/isprs-archives-XLII-3-303-2018.pdf |
| _version_ | 1818836881864916992 |
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| author | Y. Dong D. Fan Q. Ma S. Ji R. Lei |
| author_facet | Y. Dong D. Fan Q. Ma S. Ji R. Lei |
| author_sort | Y. Dong |
| collection | DOAJ |
| description | The current global image descriptors are mostly obtained by using the local image features aggregation, which fail to take full account of the details of the image, resulting in the loss of the semantic content information. It cannot be well used to make a good distinction between the high similarity images. In this paper, a new method of image representation, which can express the whole semantics and detail features of the image, is proposed by combining the edge features of the image. It is used to make a global description of the images and then clustering. The experimental results show that the proposed method is capable of clustering of the similarity images with high accuracy and low error rate. |
| first_indexed | 2024-12-19T03:13:39Z |
| format | Article |
| id | doaj.art-a514956a976e4a24bc924d6321edde54 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-19T03:13:39Z |
| publishDate | 2018-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-a514956a976e4a24bc924d6321edde542022-12-21T20:37:56ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-330330810.5194/isprs-archives-XLII-3-303-2018EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERINGY. Dong0D. Fan1Q. Ma2S. Ji3R. Lei4Zhengzhou Institute of Surveying and Mapping, Zhengzhou, ChinaZhengzhou Institute of Surveying and Mapping, Zhengzhou, ChinaZhengzhou Institute of Surveying and Mapping, Zhengzhou, ChinaZhengzhou Institute of Surveying and Mapping, Zhengzhou, ChinaZhengzhou Institute of Surveying and Mapping, Zhengzhou, ChinaThe current global image descriptors are mostly obtained by using the local image features aggregation, which fail to take full account of the details of the image, resulting in the loss of the semantic content information. It cannot be well used to make a good distinction between the high similarity images. In this paper, a new method of image representation, which can express the whole semantics and detail features of the image, is proposed by combining the edge features of the image. It is used to make a global description of the images and then clustering. The experimental results show that the proposed method is capable of clustering of the similarity images with high accuracy and low error rate.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/303/2018/isprs-archives-XLII-3-303-2018.pdf |
| spellingShingle | Y. Dong D. Fan Q. Ma S. Ji R. Lei EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING |
| title_full | EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING |
| title_fullStr | EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING |
| title_full_unstemmed | EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING |
| title_short | EDGE-BASED LOCALLY AGGREGATED DESCRIPTORS FOR IMAGE CLUSTERING |
| title_sort | edge based locally aggregated descriptors for image clustering |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/303/2018/isprs-archives-XLII-3-303-2018.pdf |
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