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基于Harris兴趣点区域的图像拷贝检测算法
引用本文:凌贺飞,陈勇,邹复好,许治华,李平. 基于Harris兴趣点区域的图像拷贝检测算法[J]. 计算机研究与发展, 2009, 46(Z1)
作者姓名:凌贺飞  陈勇  邹复好  许治华  李平
作者单位:华中科技大学计算机科学与技术学院智能与分布计算实验室,武汉,430074
基金项目:国家自然科学基金项目,国家信息产业部电子信息发展基金项目 
摘    要:提出一种使用Harris 兴趣点的拷贝检测方案.首先通过Harris检测器提取图像的局部特征点,然后构建以Harris兴趣点为中心的多重圆环区域,并计算圆环区域的信息熵,作为特征向量,通过比较特征向量之间的距离,判断局部领域的相似性.最后通过特征点的全局一致性检测,判断检测图像是否为原始作品的拷贝.实验表明该拷贝检测方法对图像的几何变换具有很强的鲁棒性,同时也能抵抗大多数的信号处理攻击.

关 键 词:拷贝检测  特征提取  Harris兴趣点  信息熵

Copy Detection Scheme Based on Harris Interest Points Area
Ling Hefei,Chen Yong,Zou Fuhao,Xu Zhihua,Li Ping. Copy Detection Scheme Based on Harris Interest Points Area[J]. Journal of Computer Research and Development, 2009, 46(Z1)
Authors:Ling Hefei  Chen Yong  Zou Fuhao  Xu Zhihua  Li Ping
Abstract:An image copy detection scheme is proposed by using Harris interest points.Firstly,the Harris interest points are extracted and several small regions around the interest point are located as image patches.Then each patch is partitioned into several concentric cirques,and the entropy information vectors are extracted from each image patch.And then,the similarity measurement is done by comparing entropy information vectors of two regions.Finally spatial distribution is detected by using the location of interest points to decide if one image is a copy or not.Integrating interest points and entropy information makes the method be robust to both geometric attacks and signal processing.
Keywords:copy detection  feature extraction  Harris interest points  entropy
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