• DocumentCode
    1695670
  • Title

    Improved image thresholding for object extraction in IR images

  • Author

    Kamgar-Parsi, B. ; Kamgar-Parsi, B.

  • Author_Institution
    Inf. Technol. Div., Naval Res. Lab., Washington, DC, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    758
  • Abstract
    Object extraction from an IR image background is of great interest both to the military and the commercial sector. A convenient and popular approach to object extraction is image thresholding. In this paper, we describe a new and easy to implement approach for extracting object(s) in single frame IR images, which has many similarities to image thresholding. Both on the basis of theoretical considerations and experimental results, however, our approach appears to be noticeably more dependable than image thresholding for IR images
  • Keywords
    feature extraction; image recognition; infrared imaging; military aircraft; object detection; IR images; improved image thresholding; military; object extraction; Data mining; Histograms; Humans; Information technology; Infrared detectors; Infrared imaging; Laboratories; Military aircraft; Object detection; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959156
  • Filename
    959156