1 July 1996 Detection of dim targets in digital infrared imagery by morphological image processing
Author Affiliations +
Optical Engineering, 35(7), (1996). doi:10.1117/1.600620
Abstract
We describe the development and the implementation of a new nonlinear image processing methodology to detect dim targets in infrared images. The methodology is based on mathematical morphology. In a first phase, the image is filtered in order to enhance positively contrasted, isotropic objects with a specified size. Then, a simple motion analysis is carried out, and finally, detection is performed by thresholding. A complete study of the algorithm performance on NATO test sequences is presented. A comparison is made with the Holmes filter and the scale-subtraction filter, a wavelet-based method.
Jean-Francois Rivest, Roger Fortin, "Detection of dim targets in digital infrared imagery by morphological image processing," Optical Engineering 35(7), (1 July 1996). http://dx.doi.org/10.1117/1.600620
JOURNAL ARTICLE
8 PAGES


SHARE
KEYWORDS
Target detection

Image filtering

Infrared imaging

Image processing

Optical filters

Infrared detectors

Nonlinear filtering

Back to Top