Target detection method from partial image of target

Details Target detection method from partial image of target Target detection method from partial image of target

1996-04-10

1999-08-10

Chang, Jon

Image analysis

Applications

Target tracking or detecting

342 90, 348169, G06K 900

Patent

active

059370785

ABSTRACT:
A method for detecting a target partially obscured in the image. Sensor data from an area of concern in converted to image data indexed to represent the area. Test signature data is provided representative of the image of a portion of the type of target of interest. The image data is normalized and filtered using the test signature data to increase the signal-to-noise ratio of portions of the normalized data that approximate the test signature data. The so-filtered data is digitized to a logic level "1" or "0" based upon threshold criteria. The resulting digitized data is convolved with a unity weighting function window to generate correspondingly indexed density data. The density data values whose first conditional probability is at least p times more likely than the second conditional probability are then converted to a logic level "1" while the density data values whose first conditional probability is less than p times more likely than the second conditional probability are converted to a logic level "0".

REFERENCES:
patent: 5251185 (1993-10-01), Baggenstoss
patent: 5275354 (1994-01-01), Minor et al.
patent: 5493539 (1996-02-01), Haley et al.
Eapen, A., Neural Network for Underwater Target Detection, IEEE Conference n Neural Networks for Ocean Engineering, p. 81-98, Aug. 1991.
Tou, Pattern Recognition Principles, p. 113-118, 1974.
Gonzalez, Digital Image Processing, p. 583-6, 443-8, 1992.

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