MODEL-BASED SEGMENTATION OF FLIR IMAGES

被引：35
|
作者：
BHANU, B
HOLBEN, RD
机构：
[1] FORD AEROSP & COMMUN CORP,NEWPORT BEACH,CA 92663
[2] UNIV UTAH,SALT LAKE CITY,UT 84112
[3] ODETICS INC,ANAHEIM,CA 92802
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1990年 / 26卷 / 01期
关键词：
D O I：
10.1109/7.53409
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
We present 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 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 are considered which provide automatic selection of thresholds to segment FLIR images. A comparison of these methods is discussed and several examples of segmentation of ship images are given. © 1990 IEEE
引用
收藏
页码：2 / 11
页数：10
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