计量学报2017，Vol.38Issue(3)：284-287,4.DOI:10.3969/j.issn.1000-1158.2017.03.07
基于核密度估计和分形编码算法的图像检索技术研究
Research on Image Retrieval Based on Kernel Density Estimation and Fractal Coding Algorithm
摘要
Abstract
To improve the application value of image retrieval technology based on image fractal coding,aiming at natural images,a robust index (rotation,translation,scaling invariance) extracted from fractal parameters is proposed and that is improved Hu invariant moment.The index is extracted from an approximate image constructed by mean range blocks.Then combines statistic characteristic of fractal parameters with the Hu invariant moment index,the weighed indices are employed to compare the similarities among images.The experimental results show that the weighted indices perform better than a separate index.关键词
计量学/图像检索/变带宽核密度估计/改进的Hu不变矩/分形编码Key words
metrology/image retrieval/variable bandwidth kernel density estimation/improved Hu invariant moment/fractal coding分类
通用工业技术引用本文复制引用
张琴,林清华,康新..基于核密度估计和分形编码算法的图像检索技术研究[J].计量学报,2017,38(3):284-287,4.基金项目
福建省科技厅重大项目(2015H6018) （2015H6018）
