期刊文献+

显著性目标检测技术研究进展 被引量:2

下载PDF
导出
摘要 随着计算机视觉技术的迅速发展,显著性目标检测是很多视觉处理任务的重要预处理步骤。显著性检测技术根据视觉注意力机制去分割自然图像中的重要物体。本文总结了显著性目标检测技术及其应用的研究情况,为构建更好的显著性目标检测技术提供发展方向。
出处 《卫星电视与宽带多媒体》 2020年第8期23-24,共2页 Satellite TV & IP Multimedia
  • 相关文献

参考文献3

二级参考文献31

  • 1蔡林沁,郑雪松,王牛.基于HSV颜色空间正交立体视觉目标检测[J].新型工业化,2013,2(1):79-88. 被引量:10
  • 2Wang W,Liu L,Hu C B,et al.Airport detection in SARimage based on perceptual organization[C]//Proceedings ofInternational Workshop on Multi-Platform/Multi-sensorRemote Sensing and Mapping.Los Alamitos:IEEE ComputerSociety Press,2011:1-5. 被引量:1
  • 3Duda R O,Hart P E.Use of the Hough transformation todetect lines and curves in pictures[J].Communications of theACM,1972,15(1):11-15. 被引量:1
  • 4Qu Y Y,Li C H,Zheng N N.Airport detection base onsupport vector machine from a single image[C]//Proceedingsof 5th International Conference on Information,Communications and Signal Processing.Los Alamitos:IEEEComputer Society Press,2005:546-549. 被引量:1
  • 5Pi Y M,Fan L H,Yang X B.Airport detection and runwayrecognition in SAR images[C]//Proceedings of IEEEInternational Geoscience and Remote Sensing Symposium.LosAlamitos:IEEE Computer Society Press,2003,6:4007-4009. 被引量:1
  • 6Tao C,Tan Y H,Cai H J,et al.Airport detection from largeIKONOS images using clustered SIFT keypoints and regioninformation[J].IEEE Geoscience and Remote SensingLetters,2011,8(1):128-132. 被引量:1
  • 7Liu D H,He L H,Carin L.Airport detection in large aerialoptical imagery[C]//Proceedings of IEEE InternationalConference on Acoustics,Speech,and Signal Processing.LosAlamitos:IEEE Computer Society Press,2004,5:761-764. 被引量:1
  • 8Desimone R,Duncan J.Neural mechanisms of selective visualattention[J].Annual Reviews in Neuroscience,1995,18:193-222. 被引量:1
  • 9Itti L,Koch C,Niebur E,et al.A model of saliency-basedvisual attention for rapid scene analysis[J].IEEETransactions on Pattern Analysis and Machine Intelligence,1998,20(11):1254-1259. 被引量:1
  • 10Walther D,Koch C.Modeling attention to salientproto-objects[J].Neural Networks,2006,19(9):1395-1407. 被引量:1

共引文献86

同被引文献21

引证文献2

二级引证文献1

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