Accession Number:

ADA379900

Title:

Stable Feature Classification in the Wavelet Domain

Descriptive Note:

Final rept. 1 Aug 1998-31 May 1999

Corporate Author:

WASHINGTON UNIV ST LOUIS MO DEPT OF MATHEMATICS

Personal Author(s):

• Weiss, Guido L.
• Wickerhauser, M. V.

Report Date:

2000-03-02

Pagination or Media Count:

7.0

Abstract:

This research project studied the mathematics of adapted wavelet transforms, which underlie some highly successfull algorithms for feature detection and classification. The investigators surveyed five feature detection methods, evaluating them empirically on reasonably large data sets to find their weakest points. In addition, new methods have been found for characterizing and constructing wavelets. Newly discovered equations characterizing orthonormal wavelet bases can be applied, along with more classical constructions, to create new families of wavelets and similar functions. These provide connectivity and allow new dilation structures and translations by new lattices. Research supported by this grant in its final year has resulted in ten referred publications that appeared in 1999 or were accepted for publication.

Descriptors:

• *IMAGE PROCESSING
• COMPUTER PROGRAMS
• ALGORITHMS
• ADAPTIVE CONTROL SYSTEMS
• DATA COMPRESSION
• EQUATIONS
• REMOTE DETECTION
• FOURIER ANALYSIS
• WAVELET TRANSFORMS

Subject Categories:

• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE