| 한글제목(Korean Title) |
An Improved Saliency Detection for Different Light Conditions |
| 영문제목(English Title) |
An Improved Saliency Detection for Different Light Conditions |
| 저자(Author) |
Yongfeng Ren
Jingbo Zhou
Zhijian Wang
Yunyang Yan
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| 원문수록처(Citation) |
VOL 09 NO. 03 PP. 1155 ~ 1172 (2015. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, we propose a novel saliency detection framework based on illumination invariant features to improve the accuracy of the saliency detection under the different light conditions. The proposed algorithm is divided into three steps. First, we extract the illuminant invariant features to reduce the effect of the illumination based on the local sensitive histograms. Second, a preliminary saliency map is obtained in the CIE Lab color space. Last, we use the region growing method to fuse the illuminant invariant features and the preliminary saliency map into a new framework. In addition, we integrate the information of spatial distinctness since the saliency objects are usually compact. The experiments on the benchmark dataset show that the proposed saliency detection framework outperforms the state-of-the-art algorithms in terms of different illuminants in the images.
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| 키워드(Keyword) |
Saliency detection
Local sensitive histograms
Illumination invariant features
Different light conditions
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| 파일첨부 |
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