为了扩大摄像机拍摄图片的视场范围，提出了一种结合频域和空域进行图像序列自动拼接融合的优化算法。基于频域相位相关方法改进排序并确定重叠区域,使用改进的Harris算子在空间域提取图像角点(无需人工设定阈值)，并通过双向最大互相关系数匹配获得初始特征点对;然后,用RANSAC法实现精确匹配；最后，利用图像均值结合线性加权函数实现图像的整体亮度调整和融合拼接。实验结果表明，该优化算法排序过程简单有效，特征提取匹配过程不仅提高了拼接成功率，其单次拼接时间较现有算法也提高了40％左右；另外，该算法较好地解决了图像间对应点难以确定的问题，对光照变化图像的拼接融合取得了满意的效果。

In order to improve the visual field of photos, an optimized algorithm of automatic image mosaic is presented based on frequency and time domains. The frequency phase correlation is adopted to sort the unorder image sequence and to estimate the overlapping area, and an improved Harris operator is adopted to extract corners. Then, the bidirectional greatest correlative coefficient is used to obtain the initial feature point pairs, and the false feature point pairs are rejected by RANSAC. Finally, the image mean combined with the linear weight function is used to implement image mosaic. Experiment results show that this algorithm can offer a excellent sorting process and show good nomosaic results.The maching speed by proposed algorithm has improved by 40% as compared with those of traditional methods,which efficiently solves the difficulty in confirming corresponding points and achives the desired visual effect in mosaic images with notable illumination difference.