Accession Number:

ADD019615

Title:

Classification of Images Using a Dictionary of Compressed Time-Frequency Atoms

Descriptive Note:

Patent Application, Filed 30 Jun 1998,

Corporate Author:

DEPARTMENT OF THE NAVY WASHINGTON DC

Personal Author(s):

Report Date:

1998-06-30

Pagination or Media Count:

17.0

Abstract:

A method for automatically classifying test images based on 7 their similarities with a dictionary of example target and non- 3 target images. The method operates by receiving a test image and then initializing variables for an iteration count and for the linear expansion of the test image. The test image is then projected onto each one of the target and non-target images in the dictionary, wherein a maximum scaling coefficient is selected for each iteration. A residue is then generated, and the linear expansion of the test image is increased until a predetermined number of iterations have been performed. Once this predetermined number of iterations have been performed, the sum of the scaling coefficients belonging to the target examples in the dictionary is compared to the sum of the scaling coefficients belonging to the non-target examples in the dictionary to determine whether the image is a target signal or a non-target signal.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE