基于飞蛾优化算法的图像匹配研究

摘要：图像匹配是计算机视觉领域中的一个重要问题，对于实现图像识别、图像检索等应用具有重要的意义。本文提出了一种基于飞蛾优化算法的图像匹配方法，该方法通过模拟飞蛾的寻食过程来寻找最优匹配。首先，将图像表示为特征向量，然后通过计算特征向量之间的距离来评估匹配度。接着，利用飞蛾优化算法对匹配过程进行优化，从而找到最优匹配。实验结果表明，本文提出的方法具有较好的匹配效果和鲁棒性。

关键词：飞蛾优化算法；图像匹配；特征向量；距离计算

Abstract: Image matching is an important problem in the field of computer vision, which has significant implications for applications such as image recognition and image retrieval. In this paper, we propose an image matching method based on the moth optimization algorithm, which simulates the foraging process of moths to find the optimal match. First, the image is represented by a feature vector, and the matching degree is evaluated by calculating the distance between feature vectors. Then, the moth optimization algorithm is used to optimize the matching process to find the optimal match. Experimental results show that the proposed method has good matching performance and robustness.

Keywords: moth optimization algorithm; image matching; feature vector; distance calculation