一种感兴趣区域寻优搜索的全自动图像拼接算法

An Automatic Mosaic Algorithm for Region of Interest Search

为了降低图像拼接中对图像序列获取的苛刻要求,增强拼接算法的适应性和灵活性,该文提出了一种兴趣区域寻优搜索的图像拼接算法。该算法以重叠区域的主要特征物为出发点,获取有效感兴趣区域,通过感兴趣区域寻优策略进行图像匹配,进而进行图像几何校正、色差调整和图像融合,实现了图像序列的无缝拼接。实验结果表明,该算法不仅保持了较好的图像拼接准确性和鲁棒性,而且降低了对图像序列获取的要求,增强了应用的适应性和灵活性。

To reduce image collection conditions in image mosaic, an adaptive Region of Interest （ROI） search algorithm is developed for enhancing adaptability and flexibility in process of image mosaic. The method searches ROI to realize image registration for overlapped region from view of key feature objects. Then image geometry adjustment, color correctness and image fusion are followed after image registration. Experimental results indicate that the method reduces image collection condition and enhances adaptability and flexibility while keeping high accuracy and robustness in image mosaic.