Aircraft pose estimation based on mathematical morphological algorithm and Radon transform

Wang Ling, Xing Chao, Yan Jie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The problem of aircraft pose estimating in a single image is analyzed. A novel method combined mathematical morphological algorithm and Radon transform is introduced to detect classical aircraft pose using the feature of shapes and regions. Silhouettes obtained by image segmentation are simplified by mathematical morphological algorithm, and Radon transform is used to do line detection for the simplified image. Tow axises of the aircraft are determined by the feature of fuseage and wings, and pose of the aircraft are estimated by the angle of the lines. Experimental results show the effectiveness of the algorithm for aircraft pose estimation in a gray level image.

Original languageEnglish
Title of host publicationProceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
Pages1920-1924
Number of pages5
DOIs
StatePublished - 2011
Event2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11 - Shanghai, China
Duration: 26 Jul 201128 Jul 2011

Publication series

NameProceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
Volume3

Conference

Conference2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11
Country/TerritoryChina
CityShanghai
Period26/07/1128/07/11

Keywords

  • Mathematical morphological algorithm
  • Pose estimation
  • Radon transform

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