Jack G Riddle

US Patent:

6393137, May 21, 2002

Filed:

Jun 17, 1999

Appl. No.:

09/335427

Inventors:

Hai-Wen Chen - Tucson AZ
Harry A. Schmitt - Tucson AZ
Jack G. Riddle - Tucson AZ

Assignee:

Raytheon Company - Lexington MA

International Classification:

G06K 900

US Classification:

382103, 382240

Abstract:

A multi-resolution feature extraction method and apparatus. In the illustrative embodiment, the feature extractor includes circuitry for receiving and transforming a time variant data signal into a multi-resolution data signal. The multi-resolution data signal is compared to each of a plurality of object templates. The system then generates a feature vector based on a correlation of the multi-resolution data signal to one of the object templates. The multi-resolution feature extraction method employs object templates formed by transforming time variant image data for each of a plurality of objects into a respective multi-resolution template and averaging all templates for each respective object. The method includes steps for transforming an incoming time variant data signal into a multi-resolution data signal, comparing the multi-resolution data signal to each of the object templates, and generating a feature vector when the multi-resolution data signal correlates to one of the object templates. In a more specific implementation, the method further includes the steps of calculating a confusion matrix (CM), classifying the feature vectors as one of the objects to thereby produce classified objects responsive to the CM, and selecting a target from the classified objects.

US Patent:

20150288941, Oct 8, 2015

Filed:

Oct 17, 2013

Appl. No.:

14/056306

Inventors:

Bruce J. SCHACHTER - Clarksville MD, US
Peter J. Vanmaasdam - Baltimore MD, US
Jack Gordon Riddle - Columbia MD, US

Assignee:

NORTHROP GRUMMAN SYSTEMS CORPORATION - FALLS CHURCH VA

International Classification:

H04N 9/77
H04N 5/33

Abstract:

One embodiment describes a method for converting a dual-band image to a visible color image. The method includes converting the dual-band image to data in a placeholder image in a placeholder color space. The placeholder color space employs a wavelet-based image fusion technique while mimicking the oppositional color processing technique of the human visual system. The placeholder image is further mapped into visible color space, generating the visible color image.