计算机应用与软件Issue(9)：197-200,4.DOI:10.3969/j.issn.1000-386x.2015.09.047
机载红外搜救成像系统中图像拼接算法研究
ON IMAGE MOSAIC ALGORITHM IN AIRBORNE INFRARED IMAGING SYSTEM FOR MARITIME SEARCH AND RESCUE
摘要
Abstract
Because of the complicacy of SIFT feature point descriptor,it will result in more image stitching time.In view of this,we propose a fast infrared image mosaic algorithm.This algorithm extracts the key frames from a sequence of infrared image first,and then preprocesses the image distortion and the sea clutter.In order to shorten image stitching time,this algorithm limits the feature point extraction area between two adjacent images.Finally,it uses bilateral matching method to improve the registration accuracy,and uses Gaussian linear weighting fusion algorithm to get a seamless image.Experimental results prove that the algorithm improves the stitching speed,and when the feature points are not many,the improved SIFT matching algorithm can reach the ideal real-time effects.关键词
图像拼接/关键帧/SIFT/特征提取/特征匹配Key words
Image mosaic/Key frame/SIFT/Feature extraction/Feature matching分类
信息技术与安全科学引用本文复制引用
殷莉,安博文..机载红外搜救成像系统中图像拼接算法研究[J].计算机应用与软件,2015,(9):197-200,4.基金项目
国家自然科学基金项目（61171126）；上海自然科学基金项目（11 ZR1415200）；上海重点支撑项目（12250501500）。 （）
