[1]金磊 陈优广 严敏[].一种基于用户感兴趣区域的图像检索算法[J].计算机技术与发展,2006,(03):104-106.
　JIN Lei,CHEN You-guang,YAN Min.An Image Retrieval Algorithm Based on Region of Interest[J].,2006,(03):104-106.
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一种基于用户感兴趣区域的图像检索算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年03期
页码:
104-106
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Image Retrieval Algorithm Based on Region of Interest
文章编号:
1005-3751（2006）03-0104-03
作者:
金磊1 陈优广2 严敏[3]
[1]华东师范大学教育信息技术学系[2]华东师范大学信息学院[3]同济大学交通运输工程学院
Author(s):
JIN Lei;  CHEN You-guang ; YAN Min
[1]Department of Educational Information Technology,East China Normal University[2]Institution of Information, East China Nomad University[3]Institution of Transportation Engineering, Tongji University
关键词:
基于内容的图像检索; 感兴趣区域; 相关反馈
Keywords:
content - based image retrieval;  region - of - interest;  relevance feedback
分类号:
TP391.4
文献标志码:
A
摘要:
利用图像全局特征的检索不能很好地检索用户想要的对象内容，而基于分割后各区域特征的检索又过分依赖于复杂的图像分割算法。针对上述两者的缺点，文中提出了一种基于用户感兴趣区域的图像检索算法。该算法首先对样例进行多分辨率树状分解，再由用户选择分解后的任意多个感兴趣的子图，提取子图的特征以进行相似性度量，并应用相关反馈以更好地捕获用户的检索意图。该方法无需对图像进行复杂的分割就能提取对象特征，且经由实验证明具有较高的查全率
Abstract:
Image retrieval using the feature of the entire image neglects the objects in which the user is interested,while the result of segmented regions- based retrieval excessivdy depends on complicated segmentation algorithm. An image retrieval algorithm based on region -of-interest is proposed in this paper aiming at covering those two shortages. This algorithm firstly decomposes the sample image into sub- images by multiresolution tree,and then the feature of the sub - images of interest selected by the user is extracted for similarity measure. We also investigate the use of feedback to better capture the user＇ s intention. This approach can extract the feature of object without segmentation, and our experiments show that it can achieve high rate of recall

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备注/Memo

备注/Memo:
金磊（1981-），女，上海人，硕士研究生，研究方向为视觉检索
更新日期/Last Update: 1900-01-01