针对不同摄像头的监控图像 ,提出了一种优化的 SIFT特征匹配的监控图像自动拼接方法。在图像整合方面 ,通过高速提取 SIFT特征描述符并进行稳定精确匹配 ,利用改进 RANS AC算法去除错配 ,从而确定待拼接图像

之间的变换参数 在图像融合方面 ,有效消除了颜色和光照差异 ,最终实现自动的无缝拼接系统。实验结果证明该方法对重叠区域小、 形变大、 有运动遮挡和噪声的监控图像有较完美的拼接效果。-Monitoring for different camera images, a SIFT feature matching optimization of monitoring image mosaic method. Image integration, through high-speed extract SIFT feature descr iptor, and the stability of an exact match, an improved RANS AC algorithm to remove the mismatch, to be spliced to determine transformation parameters between the two images　in image fusion, the effective elimination of the color and light differences, and ultimately seamless automated system. Experimental results show that the method of overlap is small, deformation, and have a noise monitoring exercise block and a more perfect image stitching effect.