Generalized likelihood ratio test based algorithms for object recognition in photon-limited images | IEEE Conference Publication | IEEE Xplore

Generalized likelihood ratio test based algorithms for object recognition in photon-limited images


Abstract:

In this paper the problem of detecting and localizing an object embedded in a background image from photon-limited observations is addressed. A new algorithm based on the...Show More

Abstract:

In this paper the problem of detecting and localizing an object embedded in a background image from photon-limited observations is addressed. A new algorithm based on the generalized likelihood ratio test (GLRT) algorithm is formulated and compared to traditional detectors for images in photon-limited noise. We used Monte-Carlo estimation of the localization-receiver-operating characteristics (LROC) curve to evaluate the performance of the proposed algorithm quantitatively and compare it with existing methods. Our experimental results demonstrate that the proposed GLRT approach significantly outperforms traditional photon-limited detectors.
Date of Conference: 14-14 September 2005
Date Added to IEEE Xplore: 27 March 2006
Print ISBN:0-7803-9134-9

ISSN Information:

Conference Location: Genova, Italy

References

References is not available for this document.