Accession Number:

ADA230584

Title:

Optical Image Segmentation Using Wavelet Filtering Techniques

Descriptive Note:

Master's thesis

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1990-12-01

Pagination or Media Count:

98.0

Abstract:

This research effort successfully implemented an automatic, optically based image segmentation scheme for locating potential targets in a cluttered FLIR image. Such a design is critical to achieve real-time segmentation and classification for machine vision applications. The segmentation scheme used in this research was based on texture discrimination and employs orientation specific, bandpass spatial filters as its main component. The orientation specific, bandpass spatial filters designed during this research include symmetrically located circular apertures implemented on heavy, black aluminum foil cosine and sine Gabor filters implemented with detour-phase computer generated holography photoreduced onto glass slides and symmetrically located circular apertures implemented on a liquid crystal television LCTV for real- time filter selection. The most successful design was the circular aperture pairs implemented on the aluminum foil. Segmentation was illustrated for simple and complex texture slides, glass template slides, and static and real-time FLIR imagery displayed on an LCTV.

Subject Categories:

  • Infrared Detection and Detectors
  • Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE