基于GPU的红外图像小目标检测

Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Pub Date : 2012-04-03 DOI:10.1109/IBCAST.2012.6177534

M. A. Javed, Xu Guili, Yao Jie, Ning Li, S. Y. Shah

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引用次数: 3

摘要

本文提出了一种检测含有干扰目标和噪声的红外图像序列中运动目标的新方法。运动目标检测方法是基于小波变换和GPU实现的。根据小波变换后的模极大值图像的特点，去除背景杂波和噪声。将所得算法应用于含有运动目标的红外图像，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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GPU based small target detection using IR images

In this paper we present a new method for detecting moving object in infrared image sequences which contain nuisance objects and noise. The moving target detection approach is based on wavelet transform with GPU implementation. According to the features of the modulus maxima images after wavelet transform, the background clutter and noise are eliminated. The effectiveness of this new method is demonstrated by applying the resulting algorithm to infrared images containing moving targets.

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Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)

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