Abstract
Normalized correlation matching is a typical method for template matching. However, the target image area to be searched must have the right position and the same scale as the template image. It may be required a template matching method to search the target image area that has free location, inclination and scale in an objective image. But, it needs large computational cost because two-dimensional pose parameters must be set in the sequential matching. Besides, a template image registered by the manual operation is not always optimal for the reliability and the computational cost for the image matching. This paper proposes a method to search the target image area efficiently that has free location, inclination and scale in objective image. The genetic algorithm is applied to both the template registration process and the image matching process to reduce the computational cost with maintaining the reliability. The experimental results show that the high-speed image matching was realized by the proposal method.
