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
Link To Document :
بازگشت