中文摘要：

现有的图像拷贝检测方法中，多数对类似噪声的图像失真比较鲁棒，而对几何类失真则比较脆弱．在几何类失真中，旋转和等比缩放失真又是最为常见的．Wu等人在2005年和2007年提出基于椭圆圆环分区的图像拷贝检测方法，试图抵抗旋转、平移、等比缩放和裁剪等几何失真．然而，椭圆形体并不具备旋转不变性，可见Wu的方法在解决旋转失真问题上并不彻底．针对旋转和等比缩放失真，提出基于圆环分区的顺序测度拷贝检测方法，由于圆环区域划分法可以保证旋转和等比缩放失真以后，圆环中的内容保持不变，因而该方法对上述2种失真具有较好的抵抗能力．同时，引入顺序测度提取圆环序列的特征，因而可以很好抵抗类似噪声失真．实验表明，在抵抗旋转和等比缩放失真方面，给出的方法均好于Wu的方法．

英文摘要：

Currently, most of image copy detection methods can successfully resist to the noise-like distortion, but they are quite fragile to geometric distortion, such as rotation, shift, translate, scale, cropping and so on. Among the geometric distortions, rotation and scaling most commonly happen. In order to really resist against rotation, shift, scale and crop distortion, Wu et al. proposed an ellipse track division based image copy detection method in 2005 and 2007 respectively. However, because of ellipse shape without rotation invariance property, Wu＇s method didn＇t really address rotation distortion problem. To completely conquer the rotation and scale distortion issues, the authors propose a novel image copy detection scheme which combines cirque division strategy with ordinal measure method to extract compact image feature. It is well known that the content within cirque track region will be almost invariant before and after rotation and scale distortion, so the proposed method can successfully resist the above-mentioned two kinds of distortion. In addition, since the ordinal measure based feature vector is insensitive to local or global slight changes among image content, so the noise-like distortion can be effectively conquered. The experimental results show the proposed method is better than that of Wu at the aspect of rotation and scale distortion.