Study on the image grayscale matching algorithm based on similarity measures
Yunpeng Zhang · Systems engineering and electronics · 2005
To improve the performance of image grayscale matching algorithm, a novel image similarity measure and image matching algorithm is studied. Firstly, the conventional image similarity measures are analyzed and a simplified normalized product correlation similarity measure is proposed for practical application. Then, an approach which can accelerate the normalized product correlation matching algorithm is designed and implemented by adopting from coarse to precise control strategy, and the basic design idea of the simplified fast algorithm is given. Finally, adaptability of the algorithm to grayscale distortion, noise disturbance, geometric rotation and size of image for guidance is systematically studied. The simulation experimental results demonstrate the efficiency and practicability of the matching control strategy and the advantage of the proposed algorithm.