Image Segmentation Using Affine Wavelets

Author

Steven E. Smiley

Date of Award

12-1991

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Steven K. Rogers, PhD

Abstract

This thesis discusses the use of the multiresolution representation and Radial Basis Function (RBF) neural networks to segment both FLIR and SAR imagery. The multiresolution approximation coefficients are used as features into the RBF network which learns to distinguish between different cultural and natural regions or objects. The wavelets used are Mallat's spline wavelet and Daubechies' compactly supported wavelets. Additionally, this thesis provides an explanation of wavelets in a tutorial manner. It introduces wavelet theory and discusses two different approaches to generating the multiresolution or wavelet representation.

AFIT Designator

AFIT-GE-ENG-91D-50

DTIC Accession Number

ADA243918

Comments

The author's Vita page is omitted.

Recommended Citation

Smiley, Steven E., "Image Segmentation Using Affine Wavelets" (1991). Theses and Dissertations. 7572.
https://scholar.afit.edu/etd/7572