一种新的商标图像检索方法

A New Method of Trademark Image Retrieval

提出了基于区域方向信息熵的商标图像检索方法:根据图像的形状主方向对图像进行旋转,并对旋转后的图像提取目标区域,将图像的目标区域沿圆周方向划分为若干个子区域并统计各个子区域的信息熵.然后,利用这些信息构成特征向量用于商标图像的检索.实验表明,基于区域方向信息熵的商标图像检索方法取得了令人满意的效果.

This paper presents the trademark image retrieval method based on region orientation information entropy. Image is rotated according to its principal orientation, and the object region on the rotated image is extracted. Then, the object region is partitioned into a lot of sub-regions along its circle orientation, and the information entropy of each partitioned regions is computed, which are constructed ifito a feature vector for describing the shape of the image. Finally, the Euclidean distance is adopted to measure the similarity between the images based on the feature vector of each image obtained. The comparison experiments show that the trademark image retrieval method based on region orientation information entropy match human visual perception very well.