摘要
基于直升机的海上搜救在海难搜救过程中发挥着重要的作用.当前国内的搜救飞行队尚未配备海上红外搜救系统.研究与实现机载红外搜救系统以达到快速准确的定位落水者就显得迫在眉睫,其中的困难是实现红外图像的快速拼接.在现有算法基础上,结合项目需求,改进并实现了一种红外图像快速拼接算法.首先对原始图像预处理以消除噪声的影响,然后利用图像重叠区的相似性,找出图像ROI区域,使用基于绝对差自适应算法完成图像匹配,最后采用加权平均法得到连续图像的拼接图.实验结果表明:该算法拼接速度较快,而且具有较强的可移植性和实用性.
The maritime search and rescue system which based on the helicopter plays an important role in the process of shipwreck. The current domestic maritime search and rescue flight team is not equipped with an infrared search and rescue system. It is imminent that the airborne infrared search and rescue system, which achieves fast and accurate positioning of the drowning. One of the difficulties is to achieve fast infrared image stitching. In this paper, on the basis of the existing algorithms, combined with the project requirements, a fast stitching algorithm for infrared images is proposed. Firstly, the original image is pre-treated to eliminate the effects of noise. Secondly, the image ROI area to be found by using of image similarity overlap and image matching is completed by using an adaptive algorithm based on the absolute difference. Finally, fusion of the continuous images is achieved by using the weighted average algorithms. The experimental results show that： the algorithm has a fast stitching speed and strong portability and practicality.
出处
《计算机系统应用》
2015年第2期189-194,共6页
Computer Systems & Applications
基金
国家自然科学基金(61171126)
上海重点支撑项目(12250501500)
关键词
海上搜救
红外图像
快速拼接
图像ROI
绝对差
maritime search and rescue
infrared images
fast stitching
image ROI
absolute difference
