Edge matching rate based on generalized acreage for images registration

This paper proposes an enhanced Edge Matching Rate (EMR) to gain good image registration based on Generalized Acreage (GA). Traditional EMR considers only matched pixels sum without concerns of the cause of unmatched pixels and the relationship between matched pixels. The modified EMR introduces the new concept of generalized acreage to measure the overlaying parts between the target image and the model. It also defines similarity of local occlusion and of local dithering to measure interference degree. Not only edge points are considered but also non-edge points, occlusion, and dithering. Using the same preprocessing, the experiments match images based on traditional EMR and the proposed EMR separately. Based on the proposed EMR the paper achieves more stable registration and higher precision.