Texture contrast based salient region detection

Jingci Xu, Fengxia Li, Sanyuan Zhao

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize our method with hierarchical image fusion. Our experimental results demonstrate that the obtained saliency map generated by our method is clear and have better precision and recall ratio compared with traditional methods.

源语言英语
主期刊名Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015
编辑Zhong Zhou, Weiliang Meng, Junfeng Yao, Xiaopeng Zhang, Xun Luo
出版商Institute of Electrical and Electronics Engineers Inc.
85-88
页数4
ISBN(电子版)9781467376730
DOI
出版状态已出版 - 9 5月 2016
活动5th International Conference on Virtual Reality and Visualization, ICVRV 2015 - Xiamen, Fujian, 中国
期限: 17 10月 201518 10月 2015

出版系列

姓名Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015

会议

会议5th International Conference on Virtual Reality and Visualization, ICVRV 2015
国家/地区中国
Xiamen, Fujian
时期17/10/1518/10/15

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引用此

Xu, J., Li, F., & Zhao, S. (2016). Texture contrast based salient region detection. 在 Z. Zhou, W. Meng, J. Yao, X. Zhang, & X. Luo (编辑), Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015 (页码 85-88). 文章 7467217 (Proceedings - 2015 International Conference on Virtual Reality and Visualization, ICVRV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVRV.2015.46