Model-based segmentation of FLIR images

Author

Bhanu, Bir ; Holben, Richard D.

Author_Institution

Dept. of Comput. Sci., Utah Univ., Salt Lake City, UT, USA

Volume

26

Issue

1

fYear

1990

fDate

1/1/1990 12:00:00 AM

Firstpage

2

Lastpage

11

Abstract

The use of gray-scale intensities together with the edge information present in a forward-looking infrared (FLIR) image to obtain a precise and accurate segmentation of a target is presented. A model of FLIR images based on gray-scale and edge information is incorporated in a gradient relaxation technique which explicitly maximizes a criterion function based on the inconsistency and ambiguity of classification of pixels with respect to their neighbors. Four variations of the basic technique which provide automatic selection of thresholds to segment FLIR images are considered. These methods are compared, and several examples of segmentation of ship images are given

Keywords

computerised pattern recognition; computerised picture processing; infrared imaging; military systems; ships; FLIR images; automatic selection; classification of pixels; computerised pattern recognition; edge information; forward-looking infrared; gradient relaxation; gray-scale; gray-scale intensities; noise cleaning; segmentation; ship images; tactical targets; thresholds; Absorption; Data mining; Image edge detection; Image recognition; Image segmentation; Marine vehicles; Pixel; Scattering; Simulated annealing; Surface treatment;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.53409

Filename

53409