期刊文献+

基于SURF算法的红外图像拼接方法的改进 预览

Improvement of Infrared Image Mosaic Method Based on SURF Algorithm
在线阅读 下载PDF
收藏 分享 导出
摘要 针对红外图像拼接存在速度慢、精度低的问题,将常用的几种可见光图像配准算法用于红外图像配准对比实验。选择其中实时性和准确性较好的SURF算法进行优化改进,采用的方法是图像区域分块、阈值化处理和特征点匹配对两级筛选(筛选条件根据不同对象可实时调整)。在不牺牲准确性的前提下,改进方法有效地提高了红外图像拼接的实时性。实验证明笔者提出的红外图像拼接改进方法的有效性。 Aiming at the the problem of slow speed and accuracy of infrared image mosaic,several commonly used visible image registration algorithms were used in the contrast experiment of infrared image registration. The SURF algorithm with good real-time and accuracy was selected,and the improved method was improved by the image region block,the threshold processing and the two stage selection of the feature point matching ( the filtering conditions can be adjusted in real time according to different objects). Without sacrificing the accuracy,the real-time performance of the infrared image mosaic was effectively improved. The experiment proves that the improved method of infrared image mosaic proposed in this paper is effective.
作者 王锦坤 张秋菊 WANG Jinkun;ZHANG Qiuju(School of Mechanical Engineering,Jiangnan University,Wuxi 214122,Jiangsu,China;Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology,Jiangnan University,Wuxi 214122,Jiangsu,China)
出处 《轻工机械》 CAS 2019年第3期66-71,共6页 Light Industry Machinery
关键词 图像处理 红外图像拼接 SURF算法 图像分块 阈值处理 图像配准 image processing infrared image mosaic SURF algorithm image segmentation threshold processing image registration
作者简介 第一作者:王锦坤(1994),男,湖北武汉人,硕士研究生,主要研究方向为机电控制与检测技术。E-mail:w13476275235@qq.com.
  • 相关文献

参考文献11

二级参考文献110

共引文献77

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈