计算机与现代化Issue(1)：75-79,5.DOI:10.3969/j.issn.1006-2475.2015.01.015
一种基于区域检测的图像检索相关反馈方法
A Relevance Feedback Method Based on Interest Region Detection in Image Retrieval System
王梦蕾1
作者信息
- 1. 南京理工大学计算机科学与工程学院，江苏 南京 210094
- 折叠
摘要
Abstract
This paper proposed a relevance feedback approach in image retrieve system .The approach is based on the detection of interest region of the query user .This approach makes use of the positively relevant images which are labeled by user and learn the user intention of the query so that the return images satisfy the user better .This approach can be divided into 3 steps:1 ) match the features of positively relevant images to those of the query image;2) verify the matched points using RANSAC model;3) select the interest region according to the verified points .As the interest region has been selected , one can use this region or put more weight on the features in this region as a new query image .The results of the experiments show that this approach can improve the precise of the retrieval and return images that satisfy the user better .关键词
相关反馈/区域检测/图像检索Key words
relevance feedback/region detection/image retrieval分类
信息技术与安全科学引用本文复制引用
王梦蕾..一种基于区域检测的图像检索相关反馈方法[J].计算机与现代化,2015,(1):75-79,5.
