摘要：Template matching is an important topic in the field of Artificial Intelligence (AI) and has wide applications such as object recognition and industrial inspection. The main objective of this study was to investigate and propose a combined approach to enhance the performance of template matching system using image pyramid in conjunction with the Sum of Absolute Difference (SAD) similarity measure. Based on results, it was found that the capabilities provided by the proposed method can significantly improve the accuracy and execution time of template matching system. The experimental investigations were based on the use of color and gray scale images with different sizes and different illumination. The study presented a detailed description of the experiments and provided an analysis of the performance of the proposed method.
