A novel noise filter based on interesting pattern mining for bag-of-features images

作者：Wu, Zhiang; Cao, Jie^*; Tao, Haicheng; Zhuang, Yi

来源：Expert Systems with Applications, 2013, 40(18): 7555-7561.

DOI：10.1016/j.eswa.2013.07.058

• Image data
• Bag-of-Features
• Noise filtering
• Interesting pattern mining
• Shortest cosine interesting pattern

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.

• 出版日期2013-12-15
• 单位浙江工商大学; 南京理工大学; 南京财经大学