摘要
针对图像匹配正确率的问题,在研究灰色关联理论的基础上,提出了基于灰色关联分析的匹配方法,找出模板图像在待匹配图像中的最佳匹配位置。通过计算图像直方图的灰关联度及边缘点集间的Hausdorff距离,从图像的灰度分布和形状特征两方面来验证了定位的准确性。实验采用了多张不同的图片进行图像匹配,实验结果表明了该算法的有效性和良好的匹配效果,具有匹配效率高、匹配误差小等特点。
To solve the problem of the accuracy of image matching, an image matching model based on grey relational analysis is proposed in this paper, based on the study of grey correlation theory. The grey correlation matching algorithm is used to determine the best matching position of template image in the image to be matched. And the accuracy of the positioning is proved in two ways of grey distribution and shape features. The specific approach is to calculate grey correlation degree of image histogram and Hausdorff distance between marginal point sets. Experiments adopt different images for image matching. The results prove the effectiveness of the matching algorithm, having features such as high efficiency and small matching error.
出处
《电视技术》
北大核心
2014年第15期58-60,共3页
Video Engineering
基金
国家自然科学基金项目(61102104)
