Saliency Detection via Fusing Color Contrast and Hash Fingerprint
Saliency detection is a technique for automatically extracting regions of interest from the background and has been widely used in the computer vision field. This study proposes a simple and effective saliency detection method combining color contrast and hash fingerprint. In our solution, the input...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/9476111 |
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| author | Yin Lv Xuanrui Zhang Yong Wang |
| author_facet | Yin Lv Xuanrui Zhang Yong Wang |
| author_sort | Yin Lv |
| collection | DOAJ |
| description | Saliency detection is a technique for automatically extracting regions of interest from the background and has been widely used in the computer vision field. This study proposes a simple and effective saliency detection method combining color contrast and hash fingerprint. In our solution, the input image is segmented into nonoverlapping superpixels, so as to perform the saliency detection at the region level to reduce computational complexity. A background optimization selection is used to construct an accurate background template. Based on this, a saliency map that highlights the whole salient region is obtained by estimating color contrast. Besides, another saliency map that enhances the salient region while restraining the background is also generated through hash fingerprint matching. Ultimately, the final saliency map can be obtained by fusing the two saliency maps. Comparing the performance with other methods, the proposed algorithm works better even in the presence of complex background or very large salient regions. |
| format | Article |
| id | doaj-art-cbfef5ab74da4e82b0ba70bbd1dfc2d3 |
| institution | OA Journals |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-cbfef5ab74da4e82b0ba70bbd1dfc2d32025-08-20T02:19:57ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/9476111Saliency Detection via Fusing Color Contrast and Hash FingerprintYin Lv0Xuanrui Zhang1Yong Wang2School of Mechanical Engineering and Electronic InformationSchool of Mechanical Engineering and Electronic InformationSchool of Mechanical Engineering and Electronic InformationSaliency detection is a technique for automatically extracting regions of interest from the background and has been widely used in the computer vision field. This study proposes a simple and effective saliency detection method combining color contrast and hash fingerprint. In our solution, the input image is segmented into nonoverlapping superpixels, so as to perform the saliency detection at the region level to reduce computational complexity. A background optimization selection is used to construct an accurate background template. Based on this, a saliency map that highlights the whole salient region is obtained by estimating color contrast. Besides, another saliency map that enhances the salient region while restraining the background is also generated through hash fingerprint matching. Ultimately, the final saliency map can be obtained by fusing the two saliency maps. Comparing the performance with other methods, the proposed algorithm works better even in the presence of complex background or very large salient regions.http://dx.doi.org/10.1155/2022/9476111 |
| spellingShingle | Yin Lv Xuanrui Zhang Yong Wang Saliency Detection via Fusing Color Contrast and Hash Fingerprint Journal of Electrical and Computer Engineering |
| title | Saliency Detection via Fusing Color Contrast and Hash Fingerprint |
| title_full | Saliency Detection via Fusing Color Contrast and Hash Fingerprint |
| title_fullStr | Saliency Detection via Fusing Color Contrast and Hash Fingerprint |
| title_full_unstemmed | Saliency Detection via Fusing Color Contrast and Hash Fingerprint |
| title_short | Saliency Detection via Fusing Color Contrast and Hash Fingerprint |
| title_sort | saliency detection via fusing color contrast and hash fingerprint |
| url | http://dx.doi.org/10.1155/2022/9476111 |
| work_keys_str_mv | AT yinlv saliencydetectionviafusingcolorcontrastandhashfingerprint AT xuanruizhang saliencydetectionviafusingcolorcontrastandhashfingerprint AT yongwang saliencydetectionviafusingcolorcontrastandhashfingerprint |