Spiral projection model (SPM): A new algorithm for robust template matching

This paper describes a robust template matching algorithm undergoing rotation-scaling-translation (RST) variations via our proposed spiral projection model (SPM). Compared to other model-based methods, the proposed algorithm provides the structural and statistical information about the template in a more general and easier to comprehend format. The well-defined spiral-based projection provides high sensitivity and high scanning efficiency compared with ring projection [1]. It also preserves the inherent spatial information better than the radial projection [2]. In addition, we introduced a novel image warping scheme called the spiral aggregation map (SAM). It not only provides an efficient method for generating the desired projection profiles for matching, it also enables us to determine the rotation angle, and is invariant to scale changes. The experimental evaluation shows that the properties of the algorithm achieved very attractive results.