利用特征点平均矩特征的商标图像检索

Trademark Retrieval Based on Feature Points' Average Moments

提出了一种新的基于多特征点平均矩特征的商标图像检索方法。首先根据图像的参照圆与形状主方向将图像划分为若干个同心圆,并在每个同心圆内确定一些特征点,这些特征点在图像中的相对位置不受旋转、尺度、平移等因素的影响。然后提出了基于多特征点平均矩特征的概念,该特征不仅具有良好的鲁棒性,而且对于噪声以及图像边缘的细微变化并不敏感,非常适合用来描述商标这种特定的图像。实验结果证明,利用该算法检索的结果兼顾了商标图像在局部和整体上的一致性,能够较好地满足人的视觉感受。

A new method of trademark retrieval based on average moments of feature points is proposed in the paper. First, the trademark image is divided into several concentric cells, and some special feature points are located in each subimage according to the image＇s reference circle and principal orientation. The relative positions of these feature points have the invariability with respect to translation, scaling and rotation. After that, the new idea of average moments of these feature points is proposed. This feature descriptor has good robustness and is not so sensitive to noise and the delicate changes in image＇s edges. The experiments show that this method has good stability and can give attention to image＇s local features and global features at the same time. Therefore, the retrieval results match human visual percept ionk well.