用分块图像特征进行商标图像检索

Using Sub-Block Image Features to Retrieve Trademark Image

提出一种使用全局和局部图像特征检索商标图像的方法 首先确定图像的形状主方向 ,根据形状主方向对图像进行旋转 ;然后对旋转后的图像提取目标区域 ,对目标区域用四叉树分解的方法划分多级分块 ;最后抽取分块图像特征进行图像相似性度量 对图像库中 2 0 0 0幅商标图像实验表明 ,分块图像特征具有良好的旋转、平移、尺度和变形不变性 。

An approach using both global and local image features to retrieve trademark image is presented The principal orientation of a shape is first determined and rotated to become horizontal rightward Then the object region on the rotated image is extracted and hierarchically partitioned into a quadtree of multilevel sub blocks Finally, sub block image features are extracted to measure the image similarity Experiments performed on a database containing 2000 images show that the sub block image features keep good invariance under rotation, translation, scale and deformation, and the retrieved results match human visual perception very well