A novel noise filter based on interesting pattern mining for bag-of-features images
A novel noise filter based on interesting pattern mining for bag-of-features images
复制标题
一种基于特征袋图像有趣模式挖掘的新型噪声滤波器
DOI:
10.1016/j.eswa.2013.07.058
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发表时间:
2013-12
影响因子:
8.5
通讯作者:
Zhuang Yi
中科院分区:
文献类型:
--
作者:
Wu Zhiang;Cao Jie;Tao Haicheng;Zhuang Yi
Improving the quality of image data through noise filtering has gained more attention for a long time. To date, many studies have been devoted to filter the noise inside the image, while few of them focus on filtering the instance-level noise among normal images. In this paper, aiming at providing a noise filter for bag-of-features images, (1) we first propose to utilize the cosine interesting pattern to construct the noise filter; (2) then we prove that to filter noise only requires to mine the shortest cosine interesting patterns, which dramatically simplifies the mining process; (3) we present an in-breadth pruning technique to further speed up the mining process. Experimental results on two real-life image datasets demonstrate effectiveness and efficiency of our noise filtering method.
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DOI:
10.1016/j.eswa.2011.01.016
发表时间:
2011-07
期刊:
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影响因子:
--
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通讯作者:
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IEEE Transactions on Systems, Man, and Cybernetics: Systems
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通讯作者:
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影响因子:
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2009-12
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影响因子:
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DOI:
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发表时间:
2007-12
期刊:
2007 IEEE 11th International Conference on Computer Vision
影响因子:
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作者:
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通讯作者:
Zhenguo Li;Jianzhuang Liu;Shifeng Chen;Xiaoou Tang