数据采集与处理2012，Vol.27Issue(3)：363-367,5.
基于随机化映射和模式熵的近似重复图像检测
Near-Duplicate Image Detection Based on Random Mapping and Pattern Entropy
摘要
Abstract
To solve the low efficiency of the traditional methods, a new near-duplicate image detection method based on random mapping and pattern entropy is proposed. Firstly, Exact euclidean locality sensitive hashing (E2LSH) is used to filter most of the non near-duplicate image pairs. Then, a pool of vastly reduced image pairs is further invested by scale-rotation invariant pattern entropy (SR-PE) for removing the wrong matches, thus realizing the near-duplicate image detection. Experimental results show that the novel method significantly speed up the detection without apparent degradation in performance and achieve a good balance between detection performance and efficiency.关键词
图像检测/随机化映射/模式熵Key words
image detection/ random mapping/ pattern entropy(PE)分类
信息技术与安全科学引用本文复制引用
蔺博宇,郭志刚,李弼程,高毫林,彭天强..基于随机化映射和模式熵的近似重复图像检测[J].数据采集与处理,2012,27(3):363-367,5.基金项目
国家自然科学基金(60872142)资助项目. （60872142）
