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EP0083213A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

Digital background normalizer using two dimensional integration techniques

Assignee: General Electric Co
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Filing: 1982-12-23
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Granted: —
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Expires: 2002-12-23
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Abstract

Abstract A digital background normalizer system for detecting a point signal or pixel value under test in a background area which is scanned to provide video signal that are converted into digital form. In orderto accumulate by digital integration techniques, the total accumulated signal over a background window is squared by multiplier (20) prior to integrating (22) the volume under a curve which is bounded by the background window area, thereby accumulating the pixels in the complete background window area. Separately, the squared video signal is integrated (24) over a selected smaller central window around the pixel value under test. The accumulated values of the central window are subtracted (28) from the accumulated values of the complete background window to obtain a net accumulated signal value. A mean squared value of the net background accumulated signal (34) is obtained by dividing it by the number of pixels located over such net background window. Next, a root means square (RMS) noise value (38) in the background of the pixel under test is generated from the mean squared value. The RMS value provides the threshold value which is compared with the actual pixel signal under test for detecting if the pixel signal is above the threshold value. The threshold value can thus be continuously changed in accordance with the level of detected background noise.

Inventors

  • 👤 Edwin Earl Morris
  • 👤 Mac Lamar Hartless

Bibliographic Details

Application Number —
Jurisdiction EP
Data Source google_patents
Last Synchronized 2026-11-09 20:16
CPC Classifications
G; G06; G06V; G06V10/00; G06V10/20; G06V10/28

Claims Analysis

Total Claims: 5
Claim 1
Independent Claim 208 words
A system for detecting a point signal or pizel value under test within a scanned background window, comprising: means for converting signals within the background window into digital signals; means for squaring the digital signals to obtain squared values; first integrator means for accumulating signal values over a volume bounded by the background window and its squared signal values; second integrator means for accumulating signal values over a volume bounded by a smaller central window and its squared signal values, the smaller central window being contained within the background window and located around said pixel value under test; means for subtracting the accumulated values of the central window from the accumulated values of the background window to obtain a net accumulated background signal for a net background window; means for dividing the net accumulated background signal by the number of pixel signals contained in the net background window to obtain a mean squared signal; means for deriving the square root of the mean squared signal, whereby to provide a RMS noise threshold value in the background of the pixel value under test; and means for comparing the actual pixel value under test with the RMS threshold value for detecting if the pixel value is above the threshold value.
Claim 2
Independent Claim 208 words
A system for detecting a point signal or pizel value under test within a scanned background window, comprising: means for converting signals within the background window into digital signals; means for squaring the digital signals to obtain squared values; first integrator means for accumulating signal values over a volume bounded by the background window and its squared signal values; second integrator means for accumulating signal values over a volume bounded by a smaller central window and its squared signal values, the smaller central window being contained within the background window and located around said pixel value under test; means for subtracting the accumulated values of the central window from the accumulated values of the background window to obtain a net accumulated background signal for a net background window; means for dividing the net accumulated background signal by the number of pixel signals contained in the net background window to obtain a mean squared signal; means for deriving the square root of the mean squared signal, whereby to provide a RMS noise threshold value in the background of the pixel value under test; and means for comparing the actual pixel value under test with the RMS threshold value for detecting if the pixel value is above the threshold value.
Claim 3
Dependent Claim 31 words
A system as recited in claim 1, further comprising means for applying a multiplier scale factor to the RMS noise threshold value to adjust it to a desired background noise level.
Claim 4
Dependent Claim 32 words
A system as recited in claim 1, further comprised of first delay means for varying the area of the smaller central window and the signal values accumulated by said second integrator means.
Claim 5
Dependent Claim 30 words
A system as recited in claim 3 further comprising second delay means for varying the size of the background window and the signal values accumulated by said first integrator means.

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