摘要
针对传统图像拼接算法存在的缺点,提出一种基于特征点约束关系的全自动图像拼接算法。首先使用Harris角点检测器提取两幅图像的特征点;再利用双向最大相关法对特征点初始匹配,运用两级特征点约束关系策略对初始匹配点求精;然后采用稳健的RANSAC算法求出变换矩阵初值并使用Levenberg-Marquardt(LM)非线性迭代算法精炼变换矩阵;最后使用三角函数作为融合算法,实现拼接图像的平滑过渡。实验验证了算法的有效性。
By analyzing the disadvantages of the traditional image mosaic algorithms, a new automatic image mosaic algorithm based on comers＇ constraint relations is presented. Firstly, the feature points of two images are extracted using Harris comer detector. Secondly, the initial matches are got by bidirectional greatest correlative coefficient, and the false matches arc rejected by a two - level restricted tactic based on comers＇ constraint relations. Thirdly, RANSAC algorithm is used to compute initial value of transforming matrix, and LM algorithm is used to purify the transforming matrix. Finally, the Triangle Function is used to get smoothing seamless mosaic image. Experimental results show that the algorithm is effective and stable.
出处
《电视技术》
北大核心
2012年第13期64-67,共4页
Video Engineering
