基于投影特征的快速图像匹配方法

为了减少现有投影法模板中的冗余像素和匹配过程中无效的投影计算,提出了一种基于投影特征的快速图像匹配方法。基于投影法匹配原理和目标物体最小纵横比矩形特性,构造出平行四边形模板,并应用四方向链码实现该模板的投影变换;在图像匹配过程中,基于模板投影数据的取值范围和动态阈值序贯相似性检测原理,实现投影变换过程中灰度值的实时判定。实验结果表明,本文提出的方法与其他图像匹配算法相比在运算速度上优势显著。

Fast image matching method based on projective feature

To reduce the redundant pixels in the template of existing projection methods and the invalid projection calculation in matching process, a fast image matching method based on projective feature is proposed. This method is based on the projection matching principle and target object's characteristics of the minimum aspect ratio rectangle. It constructs a parallelogram template and uses 4-direction chain code to achieve the template projection transformation. In the process of image matching, based on the value range of the data gotten after template projection and dynamic threshold sequential similarity detection principle, real-time gray value judgment is realized during the projection transformation. Experiment results show that, compared with other image matching algorithms, the proposed method possesses significant advantage in computational speed.