Scene Matching: Photon By Photon

G. Michael Morris; T. A. Isberg; M. N. Wernick

doi:10.1117/12.961614

25 October 1989 Scene Matching: Photon By Photon

G. Michael Morris, T. A. Isberg, M. N. Wernick

Proceedings Volume 1134, Optical Pattern Recognition II; (1989) https://doi.org/10.1117/12.961614
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France

Abstract

The spatial coordinates of detected photoevents in a given area convey information about the classical irradiance of the input scene. In this paper the effectiveness of photon-counting techniques for image recognition is discussed. A correlation signal is obtained by cross correlating a photon-limited input scene with a classical intensity reference function stored in computer memory. Laboratory experiments involving matched filtering, rotation-invariant image recognition, and image classification are reported. For many images it is found that only a sparse sampling of the input is required to obtain accurate recognition decisions, and the digital processing of the data is extremely efficient. Using available photon-counting detection systems, the total time required to detect, process, and make a recognition decision is typically on the order of tens of milliseconds. This work has obvious application in night vision, but it is also relevant to areas such as robot vision, vehicle guidance, radiological and nuclear imaging, and recognition of spectral signatures.

Citation Download Citation

G. Michael Morris, T. A. Isberg, and M. N. Wernick "Scene Matching: Photon By Photon", Proc. SPIE 1134, Optical Pattern Recognition II, (25 October 1989); https://doi.org/10.1117/12.961614

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