Accession Number:

ADA242196

Title:

An Optical Image Segmentor Using Neural Based Wavelet Filtering Techniques

Descriptive Note:

Technical rept. Dec 1989-Sep 1991

Corporate Author:

WRIGHT LAB WRIGHT-PATTERSON AFB OH

Report Date:

1991-10-18

Pagination or Media Count:

28.0

Abstract:

This paper presents a neural based optical image segmentation scheme for locating potential targets in cluttered FLIR images. The advantage of such a scheme is speed, i.e., the speed of light. Such a design is critical to achieve real-time segmentation and classification for machine vision applications. The segmentation scheme used was based on texture discrimination and employed biologically based orientation specific filters wavelet filters as its amin component. These filters are well understood impulse response functions of mammalian vision systems from input to striate cortex. By usig the proper choice of aperture pair separation, dilation, and orientation, targets in FLIR imagery were optically segmented. Wavelet filtering is illustrated for glass template slides, as well as segmentation for static and real-time FLIR imagery displayed on a liquid crystal television.

Subject Categories:

  • Infrared Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE