Wavelet transforms of cluttered images and their application to computing the probability of detection

被引：17

作者：

Meitzler, TJ ^{[1
]}

Karlsen, RE ^{[1
]}

Gerhart, GR ^{[1
]}

Sohn, E ^{[1
]}

Singh, H ^{[1
]}

机构：

[1] WAYNE STATE UNIV,DEPT ELECT & COMP ENGN,DETROIT,MI 48092

来源：

OPTICAL ENGINEERING | 1996年 / 35卷 / 10期

关键词：

wavelets; target acquisition; theory of signal detection; clutter metrics; infrared images;

D O I：

10.1117/1.600987

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Wavelet transforms are currently being used for a number of applications such as cue feature and noise extraction from images and acoustic signals. This work describes and applies an algorithm that uses wavelets for finding the clutter in infrared (IR) and visual images. Once the clutter is found, the probability of detection (P-d) is calculated. Tidhar's and Rotman's probability of edge metric (POE) is extended to encompass the wavelet methodology for multiscale clutter metrics in IR images. (C) 1996 society of Photo-Optical Instrumentation Engineers.

引用

页码：3019 / 3025

页数：7

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